interim_results.html

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>interim_results</title>

<script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<style type="text/css">
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/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
  font-family: sans-serif;
  -ms-text-size-adjust: 100%;
  -webkit-text-size-adjust: 100%;
}
body {
  margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
  display: block;
}
audio,
canvas,
progress,
video {
  display: inline-block;
  vertical-align: baseline;
}
audio:not([controls]) {
  display: none;
  height: 0;
}
[hidden],
template {
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}
a {
  background-color: transparent;
}
a:active,
a:hover {
  outline: 0;
}
abbr[title] {
  border-bottom: 1px dotted;
}
b,
strong {
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dfn {
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h1 {
  font-size: 2em;
  margin: 0.67em 0;
}
mark {
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  color: #000;
}
small {
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sub,
sup {
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  position: relative;
  vertical-align: baseline;
}
sup {
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}
sub {
  bottom: -0.25em;
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img {
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svg:not(:root) {
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figure {
  margin: 1em 40px;
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hr {
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pre {
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code,
kbd,
pre,
samp {
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button,
input,
optgroup,
select,
textarea {
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button {
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button,
select {
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}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
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}
button[disabled],
html input[disabled] {
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button::-moz-focus-inner,
input::-moz-focus-inner {
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input {
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input[type="checkbox"],
input[type="radio"] {
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input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
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input[type="search"] {
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input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
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}
fieldset {
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  margin: 0 2px;
  padding: 0.35em 0.625em 0.75em;
}
legend {
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textarea {
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optgroup {
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table {
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}
td,
th {
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/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
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  src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
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}
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.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: thin dotted;
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: thin dotted;
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: thin dotted;
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
@-moz-document url-prefix() {
  div.inner_cell {
    overflow-x: hidden;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 20ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
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<h1 id="Lending-Club---Loan-Repayment-Prediction">Lending Club - Loan Repayment Prediction<a class="anchor-link" href="#Lending-Club---Loan-Repayment-Prediction">&#182;</a></h1><h2 id="Interim-Results-Report">Interim Results Report<a class="anchor-link" href="#Interim-Results-Report">&#182;</a></h2><p>This report consists of two main parts:</p>
<p>Part 1:
    Cleaning and preparing the data set</p>
<p>Part 2:
    Creating models, making predictions and measuring results.</p>
<p>Part 2 consists of 3 sub-sections:</p>

<pre><code>1. Random Forest model, predictions and performance measurements
2. Bagged Decision Trees model, predictions and performance measurements
3. Bagged Neural Networks model, predictions and performance measurements</code></pre>

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<h4 id="Loading-Raw-Data">Loading Raw Data<a class="anchor-link" href="#Loading-Raw-Data">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lending_club_2012_2013</span> <span class="o">&lt;-</span> <span class="n">read</span><span class="o">.</span><span class="n">csv</span><span class="p">(</span><span class="s2">&quot;lending_club_rfe/LoanStats3b_securev1.csv&quot;</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">TRUE</span><span class="p">)</span>
<span class="n">lending_club_2007_2011</span> <span class="o">&lt;-</span> <span class="n">read</span><span class="o">.</span><span class="n">csv</span><span class="p">(</span><span class="s2">&quot;lending_club_rfe/LoanStats3a_securev1.csv&quot;</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="n">TRUE</span><span class="p">)</span>
</pre></div>

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<h4 id="Pruning-data-set-to-include-only-36-month-term-loans-issued-up-to-February-2013">Pruning data set to include only 36 month term loans issued up to February 2013<a class="anchor-link" href="#Pruning-data-set-to-include-only-36-month-term-loans-issued-up-to-February-2013">&#182;</a></h4><p>The reason for this is because all 36 month loans issued February 2013 or earlier have fully come to term.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lending_club_jan_2013</span> <span class="o">&lt;-</span> <span class="n">subset</span><span class="p">(</span><span class="n">lending_club_2012_2013</span><span class="p">,</span><span class="n">issue_d</span> <span class="o">==</span> <span class="s2">&quot;Jan-2013&quot;</span><span class="p">)</span>
<span class="n">lending_club_feb_2013</span> <span class="o">&lt;-</span> <span class="n">subset</span><span class="p">(</span><span class="n">lending_club_2012_2013</span><span class="p">,</span><span class="n">issue_d</span> <span class="o">==</span> <span class="s2">&quot;Feb-2013&quot;</span><span class="p">)</span>
<span class="n">lending_club_2012</span> <span class="o">&lt;-</span> <span class="n">subset</span><span class="p">(</span><span class="n">lending_club_2012_2013</span><span class="p">,</span><span class="n">grepl</span><span class="p">(</span><span class="s2">&quot;2012&quot;</span><span class="p">,</span><span class="n">issue_d</span><span class="p">))</span>
<span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">rbind</span><span class="p">(</span><span class="n">lending_club_jan_2013</span><span class="p">,</span><span class="n">lending_club_feb_2013</span><span class="p">,</span><span class="n">lending_club_2012</span><span class="p">,</span><span class="n">lending_club_2007_2011</span><span class="p">)</span>
<span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">subset</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">,</span><span class="n">grepl</span><span class="p">(</span><span class="s2">&quot;36&quot;</span><span class="p">,</span><span class="n">term</span><span class="p">))</span>
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<h4 id="Adding-label-(default_status)-to-the-data-set">Adding label (default_status) to the data set<a class="anchor-link" href="#Adding-label-(default_status)-to-the-data-set">&#182;</a></h4><p>default_status:</p>
<p>1 = true (default has occured)</p>
<p>0 = false (default has not occured)</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">status</span> <span class="o">&lt;-</span> <span class="n">c</span><span class="p">(</span><span class="s2">&quot;Current&quot;</span><span class="p">,</span><span class="s2">&quot;Fully Paid&quot;</span><span class="p">,</span><span class="s2">&quot;Late (16-30 days)&quot;</span><span class="p">,</span><span class="s2">&quot;Does not meet the credit policy. Status:Charged Off&quot;</span><span class="p">,</span><span class="s2">&quot;Charged Off&quot;</span><span class="p">,</span><span class="s2">&quot;Default&quot;</span><span class="p">,</span><span class="s2">&quot;In Grace Period&quot;</span><span class="p">,</span><span class="s2">&quot;Late (31-120 days)&quot;</span><span class="p">,</span><span class="s2">&quot;Does not meet the credit policy. Status:Fully Paid&quot;</span><span class="p">)</span>
<span class="n">default_status</span> <span class="o">&lt;-</span> <span class="n">c</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">)</span>
<span class="n">lending_club_default</span> <span class="o">&lt;-</span> <span class="n">data</span><span class="o">.</span><span class="n">frame</span><span class="p">(</span><span class="n">default</span> <span class="o">=</span> <span class="n">default_status</span><span class="p">[</span><span class="n">match</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">loan_status</span><span class="p">,</span> <span class="n">status</span><span class="p">)])</span>
<span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">cbind</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">,</span><span class="n">lending_club_default</span><span class="p">)</span>
</pre></div>

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<h4 id="Eliminate-features-which-are-mostly-NA">Eliminate features which are mostly NA<a class="anchor-link" href="#Eliminate-features-which-are-mostly-NA">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">na_pct</span> <span class="o">&lt;-</span><span class="n">sapply</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> <span class="nb">sum</span><span class="p">(</span><span class="ow">is</span><span class="o">.</span><span class="n">na</span><span class="p">(</span><span class="n">y</span><span class="p">))</span><span class="o">/</span><span class="n">length</span><span class="p">(</span><span class="n">y</span><span class="p">))</span>
<span class="n">na_pct</span> <span class="o">&lt;-</span> <span class="n">data</span><span class="o">.</span><span class="n">frame</span><span class="p">(</span><span class="n">na_pct</span><span class="p">)</span>
<span class="n">mostly_na</span> <span class="o">&lt;-</span> <span class="n">na_pct</span> <span class="o">&gt;</span> <span class="mf">0.2</span>

<span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[,</span><span class="n">mostly_na</span><span class="o">==</span><span class="n">FALSE</span><span class="p">]</span> 
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<h4 id="Cleaning-data---Little-touch-ups">Cleaning data - Little touch-ups<a class="anchor-link" href="#Cleaning-data---Little-touch-ups">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># convert issue_d to dates because as factors they have too many levels!</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">issue_d</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">vector</span><span class="p">(</span><span class="n">sapply</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">issue_d</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="n">paste0</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="s2">&quot;-01&quot;</span><span class="p">)))</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">issue_d</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">Date</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">issue_d</span><span class="p">,</span><span class="s2">&quot;%b-%Y-</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">)</span>

<span class="c1"># convert int_rate to numeric</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">int_rate</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">character</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">int_rate</span><span class="p">)</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">int_rate</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">substr</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">int_rate</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="n">nchar</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">int_rate</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>
 
<span class="c1"># convert earliest_cr_line to date</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">character</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span><span class="p">)</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">vector</span><span class="p">(</span><span class="n">sapply</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="n">paste0</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="s2">&quot;-01&quot;</span><span class="p">)))</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">Date</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">earliest_cr_line</span><span class="p">,</span><span class="s2">&quot;%b-%Y-</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">)</span>

<span class="c1"># convert revol_util to numeric</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">revol_util</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">character</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">revol_util</span><span class="p">)</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">revol_util</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">substr</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">revol_util</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="n">nchar</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">revol_util</span><span class="p">)</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span>

<span class="c1"># convert last_credit_pull_d to dates because as factors they have too many levels!</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">character</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="p">)</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">vector</span><span class="p">(</span><span class="n">sapply</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="n">paste0</span><span class="p">(</span><span class="n">x</span><span class="p">,</span><span class="s2">&quot;-01&quot;</span><span class="p">)))</span>
<span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">Date</span><span class="p">(</span><span class="n">lending_club_final</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="p">,</span><span class="s2">&quot;%b-%Y-</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">)</span>
    
<span class="c1"># convert zip_code to char because as a factor it has too many levels</span>
<span class="c1">#lending_club_final$zip_code &lt;- as.character(lending_club_final$zip_code)</span>
    
<span class="c1"># remove useless variables</span>
<span class="n">to_remove</span> <span class="o">&lt;-</span> <span class="n">c</span><span class="p">(</span><span class="s2">&quot;url&quot;</span><span class="p">,</span><span class="s2">&quot;desc&quot;</span><span class="p">,</span><span class="s2">&quot;title&quot;</span><span class="p">,</span><span class="s2">&quot;emp_title&quot;</span><span class="p">,</span><span class="s2">&quot;id&quot;</span><span class="p">,</span><span class="s2">&quot;loan_status&quot;</span><span class="p">,</span><span class="s2">&quot;zip_code&quot;</span><span class="p">)</span>
<span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[</span> <span class="p">,</span> <span class="o">!(</span>names<span class="o">(</span>lending_club_final<span class="o">)</span> %in% to_remove<span class="o">)]</span>
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<h4 id="Remove-incomplete-records">Remove incomplete records<a class="anchor-link" href="#Remove-incomplete-records">&#182;</a></h4><p>Incomplete records should be removed as long as they are a small portion of the data set &lt; 3%</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">nrows</span> <span class="o">&lt;-</span> <span class="n">nrow</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">)</span>
<span class="n">ncomplete</span> <span class="o">&lt;-</span> <span class="nb">sum</span><span class="p">(</span><span class="n">complete</span><span class="o">.</span><span class="n">cases</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="p">(</span><span class="n">ncomplete</span><span class="o">/</span><span class="n">nrows</span><span class="p">))</span>
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<pre>[1] 0.01697246
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<p>Since incomplete rows represent &lt; 3% of data set, remove them.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[</span><span class="n">complete</span><span class="o">.</span><span class="n">cases</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">),]</span>

<span class="c1"># how many records in data set so far</span>
<span class="n">lcf_before_na_rm</span> <span class="o">&lt;-</span> <span class="n">nrow</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">)</span>
<span class="n">lcf_before_na_rm</span>
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85083
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<h4 id="Check-for-records-with-NA's">Check for records with NA's<a class="anchor-link" href="#Check-for-records-with-NA's">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sapply</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">,</span> <span class="n">function</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="nb">sum</span><span class="p">(</span><span class="ow">is</span><span class="o">.</span><span class="n">na</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
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<dl class=dl-horizontal>
	<dt>member_id</dt>
		<dd>0</dd>
	<dt>loan_amnt</dt>
		<dd>0</dd>
	<dt>funded_amnt</dt>
		<dd>0</dd>
	<dt>funded_amnt_inv</dt>
		<dd>0</dd>
	<dt>term</dt>
		<dd>0</dd>
	<dt>int_rate</dt>
		<dd>0</dd>
	<dt>installment</dt>
		<dd>0</dd>
	<dt>grade</dt>
		<dd>0</dd>
	<dt>sub_grade</dt>
		<dd>0</dd>
	<dt>emp_length</dt>
		<dd>0</dd>
	<dt>home_ownership</dt>
		<dd>0</dd>
	<dt>annual_inc</dt>
		<dd>0</dd>
	<dt>verification_status</dt>
		<dd>0</dd>
	<dt>issue_d</dt>
		<dd>0</dd>
	<dt>pymnt_plan</dt>
		<dd>0</dd>
	<dt>purpose</dt>
		<dd>0</dd>
	<dt>addr_state</dt>
		<dd>0</dd>
	<dt>dti</dt>
		<dd>0</dd>
	<dt>delinq_2yrs</dt>
		<dd>0</dd>
	<dt>earliest_cr_line</dt>
		<dd>0</dd>
	<dt>fico_range_low</dt>
		<dd>0</dd>
	<dt>fico_range_high</dt>
		<dd>0</dd>
	<dt>inq_last_6mths</dt>
		<dd>0</dd>
	<dt>open_acc</dt>
		<dd>0</dd>
	<dt>pub_rec</dt>
		<dd>0</dd>
	<dt>revol_bal</dt>
		<dd>0</dd>
	<dt>revol_util</dt>
		<dd>0</dd>
	<dt>total_acc</dt>
		<dd>0</dd>
	<dt>initial_list_status</dt>
		<dd>0</dd>
	<dt>out_prncp</dt>
		<dd>0</dd>
	<dt>out_prncp_inv</dt>
		<dd>0</dd>
	<dt>total_pymnt</dt>
		<dd>0</dd>
	<dt>total_pymnt_inv</dt>
		<dd>0</dd>
	<dt>total_rec_prncp</dt>
		<dd>0</dd>
	<dt>total_rec_int</dt>
		<dd>0</dd>
	<dt>total_rec_late_fee</dt>
		<dd>0</dd>
	<dt>recoveries</dt>
		<dd>0</dd>
	<dt>collection_recovery_fee</dt>
		<dd>0</dd>
	<dt>last_pymnt_d</dt>
		<dd>0</dd>
	<dt>last_pymnt_amnt</dt>
		<dd>0</dd>
	<dt>next_pymnt_d</dt>
		<dd>0</dd>
	<dt>last_credit_pull_d</dt>
		<dd>0</dd>
	<dt>last_fico_range_high</dt>
		<dd>0</dd>
	<dt>last_fico_range_low</dt>
		<dd>0</dd>
	<dt>collections_12_mths_ex_med</dt>
		<dd>0</dd>
	<dt>policy_code</dt>
		<dd>0</dd>
	<dt>application_type</dt>
		<dd>0</dd>
	<dt>acc_now_delinq</dt>
		<dd>0</dd>
	<dt>chargeoff_within_12_mths</dt>
		<dd>0</dd>
	<dt>delinq_amnt</dt>
		<dd>0</dd>
	<dt>pub_rec_bankruptcies</dt>
		<dd>0</dd>
	<dt>tax_liens</dt>
		<dd>0</dd>
	<dt>default</dt>
		<dd>0</dd>
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<h4 id="Cleaning-data-set-and-removing-variables/features-not-known-at-issuance-of-loan">Cleaning data set and removing variables/features not known at issuance of loan<a class="anchor-link" href="#Cleaning-data-set-and-removing-variables/features-not-known-at-issuance-of-loan">&#182;</a></h4><p>I am removing all variables which are not known at the time of issuance because the aim of this project is to determine a predictive model which can be used before issuing a loan.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">lending_club_final</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[,</span> <span class="o">!(</span>colnames<span class="o">(</span>lending_club_final<span class="o">)</span> %in% c<span class="o">(</span><span class="s2">&quot;total_rec_int&quot;</span>,<span class="s2">&quot;total_pymnt_inv&quot;</span>,<span class="s2">&quot;total_pymnt&quot;</span>
                                                                                 <span class="p">,</span><span class="s2">&quot;total_rec_prncp&quot;</span><span class="p">,</span><span class="s2">&quot;collection_recovery_fee&quot;</span><span class="p">,</span>
                                                                                 <span class="s2">&quot;recoveries&quot;</span><span class="p">,</span><span class="s2">&quot;last_pymnt_amnt&quot;</span><span class="p">,</span>
                                                                                 <span class="s2">&quot;total_rec_late_fee&quot;</span><span class="p">,</span><span class="s2">&quot;last_pymnt_d&quot;</span><span class="p">,</span>
                                                                                 <span class="s2">&quot;last_pymnt_amnt&quot;</span><span class="p">,</span><span class="s2">&quot;next_pymnt_d&quot;</span><span class="p">))]</span>
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<h4 id="Makeup-of-the-data-set-after-cleansing-and-pruning">Makeup of the data set after cleansing and pruning<a class="anchor-link" href="#Makeup-of-the-data-set-after-cleansing-and-pruning">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">str</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">)</span>
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<pre>&#39;data.frame&#39;:	85083 obs. of  43 variables:
 $ member_id                 : int  4068919 3982350 4058105 4067567 4057467 3982347 4067275 3417777 4066823 4027605 ...
 $ loan_amnt                 : int  22000 4750 2000 5000 2500 1800 4500 6000 4200 3600 ...
 $ funded_amnt               : int  22000 4750 2000 5000 2500 1800 4500 6000 4200 3600 ...
 $ funded_amnt_inv           : num  22000 4750 2000 5000 2500 1800 4500 6000 4200 3600 ...
 $ term                      : Factor w/ 3 levels &#34;&#34;,&#34; 36 months&#34;,..: 2 2 2 2 2 2 2 2 2 2 ...
 $ int_rate                  : num  17.3 19.1 19.7 19.1 21.5 ...
 $ installment               : num  787.3 174.2 74 183.4 94.8 ...
 $ grade                     : Factor w/ 8 levels &#34;&#34;,&#34;A&#34;,&#34;B&#34;,&#34;C&#34;,..: 4 5 5 5 6 5 4 4 4 5 ...
 $ sub_grade                 : Factor w/ 36 levels &#34;&#34;,&#34;A1&#34;,&#34;A2&#34;,&#34;A3&#34;,..: 16 20 21 20 24 18 13 13 16 17 ...
 $ emp_length                : Factor w/ 13 levels &#34;&#34;,&#34;&lt; 1 year&#34;,..: 4 7 4 4 10 4 4 4 10 4 ...
 $ home_ownership            : Factor w/ 6 levels &#34;&#34;,&#34;MORTGAGE&#34;,..: 6 6 5 6 6 6 2 6 2 6 ...
 $ annual_inc                : num  49000 42000 45000 48000 38000 67200 78000 40000 50000 35000 ...
 $ verification_status       : Factor w/ 4 levels &#34;&#34;,&#34;Not Verified&#34;,..: 4 2 2 2 2 3 2 2 2 2 ...
 $ issue_d                   : Date, format: &#34;2013-01-01&#34; &#34;2013-01-01&#34; ...
 $ pymnt_plan                : Factor w/ 3 levels &#34;&#34;,&#34;n&#34;,&#34;y&#34;: 2 2 2 2 2 2 2 2 2 2 ...
 $ purpose                   : Factor w/ 15 levels &#34;&#34;,&#34;car&#34;,&#34;credit_card&#34;,..: 4 10 10 14 8 7 5 3 4 3 ...
 $ addr_state                : Factor w/ 51 levels &#34;&#34;,&#34;AK&#34;,&#34;AL&#34;,&#34;AR&#34;,..: 47 34 46 6 16 6 6 7 43 16 ...
 $ dti                       : num  29.78 19.14 3.72 3 11.02 ...
 $ delinq_2yrs               : int  0 0 0 0 0 0 1 0 0 2 ...
 $ earliest_cr_line          : Date, format: &#34;2001-03-01&#34; &#34;1990-10-01&#34; ...
 $ fico_range_low            : int  665 685 660 710 680 665 680 665 665 690 ...
 $ fico_range_high           : int  669 689 664 714 684 669 684 669 669 694 ...
 $ inq_last_6mths            : int  0 1 0 0 0 0 0 0 1 2 ...
 $ open_acc                  : int  10 12 3 2 5 9 5 8 14 8 ...
 $ pub_rec                   : int  0 0 0 0 1 0 0 1 0 0 ...
 $ revol_bal                 : int  14681 8890 3986 736 1142 12955 12637 6290 10406 3843 ...
 $ revol_util                : num  75.7 42.1 43.3 92 40.8 75.3 83.7 77.7 71.8 31.5 ...
 $ total_acc                 : int  22 27 28 12 10 15 11 17 18 19 ...
 $ initial_list_status       : Factor w/ 3 levels &#34;&#34;,&#34;f&#34;,&#34;w&#34;: 2 2 2 3 2 2 2 3 2 2 ...
 $ out_prncp                 : num  0 0 0 0 0 0 0 0 0 0 ...
 $ out_prncp_inv             : num  0 0 0 0 0 0 0 0 0 0 ...
 $ last_credit_pull_d        : Date, format: &#34;2016-04-01&#34; &#34;2016-01-01&#34; ...
 $ last_fico_range_high      : int  584 599 749 704 789 559 709 774 594 754 ...
 $ last_fico_range_low       : int  580 595 745 700 785 555 705 770 590 750 ...
 $ collections_12_mths_ex_med: int  0 0 0 0 0 0 0 0 0 0 ...
 $ policy_code               : int  1 1 1 1 1 1 1 1 1 1 ...
 $ application_type          : Factor w/ 2 levels &#34;&#34;,&#34;INDIVIDUAL&#34;: 2 2 2 2 2 2 2 2 2 2 ...
 $ acc_now_delinq            : int  0 0 0 0 0 0 0 0 0 0 ...
 $ chargeoff_within_12_mths  : int  0 0 0 0 0 0 0 0 0 0 ...
 $ delinq_amnt               : int  0 0 0 0 0 0 0 0 0 0 ...
 $ pub_rec_bankruptcies      : int  0 0 0 0 1 0 0 1 0 0 ...
 $ tax_liens                 : int  0 0 0 0 0 0 0 0 0 0 ...
 $ default                   : num  0 0 0 0 0 0 0 0 1 0 ...
</pre>
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<h4 id="Create-training-and-test-data-sets">Create training and test data sets<a class="anchor-link" href="#Create-training-and-test-data-sets">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_rows</span> <span class="o">&lt;-</span> <span class="n">sample</span><span class="p">(</span><span class="n">nrow</span><span class="p">(</span><span class="n">lending_club_final</span><span class="p">),</span><span class="mi">20000</span><span class="p">)</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">train</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[</span><span class="n">train_rows</span><span class="p">,]</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span> <span class="o">&lt;-</span> <span class="n">lending_club_final</span><span class="p">[</span><span class="o">-</span><span class="n">train_rows</span><span class="p">,]</span>
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<h3 id="Random-Forest">Random Forest<a class="anchor-link" href="#Random-Forest">&#182;</a></h3><h4 id="Train-model---Pre-RFE">Train model - Pre-RFE<a class="anchor-link" href="#Train-model---Pre-RFE">&#182;</a></h4><p>I am training the random forest algorithm against all of the variables/features because I want to create an Importance Plot (see next step) and use it as a comparison to the RFE analysis.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">library</span><span class="p">(</span><span class="n">randomForest</span><span class="p">)</span>
<span class="nb">set</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">9</span><span class="p">)</span>

<span class="n">rf</span><span class="o">.</span><span class="n">fit</span> <span class="o">&lt;-</span> <span class="n">randomForest</span><span class="p">(</span><span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">default</span><span class="p">)</span><span class="o">~.</span><span class="p">,</span> <span class="n">data</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">,</span> <span class="n">importance</span><span class="o">=</span><span class="n">TRUE</span><span class="p">,</span> <span class="n">ntree</span><span class="o">=</span><span class="mi">700</span><span class="p">)</span>
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<h4 id="Plot-the-importance-of-each-of-the-variables-(at-least-the-significantly-important-ones)">Plot the importance of each of the variables (at least the significantly important ones)<a class="anchor-link" href="#Plot-the-importance-of-each-of-the-variables-(at-least-the-significantly-important-ones)">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">varImpPlot</span><span class="p">(</span><span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="p">)</span>
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<h4 id="Generate-predictions-(Random-Forest---Pre-RFE)">Generate predictions (Random Forest - Pre-RFE)<a class="anchor-link" href="#Generate-predictions-(Random-Forest---Pre-RFE)">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">library</span><span class="p">(</span><span class="n">caret</span><span class="p">)</span>
<span class="n">install</span><span class="o">.</span><span class="n">packages</span><span class="p">(</span><span class="s2">&quot;e1071&quot;</span><span class="p">,</span> <span class="n">repos</span><span class="o">=</span><span class="s1">&#39;http://cran.us.r-project.org&#39;</span><span class="p">,</span><span class="n">dependencies</span> <span class="o">=</span> <span class="n">TRUE</span><span class="p">)</span>
<span class="n">library</span><span class="p">(</span><span class="n">e1071</span><span class="p">)</span>

<span class="c1"># Generate predictions based on model</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span> <span class="o">&lt;-</span> <span class="n">predict</span><span class="p">(</span><span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="p">)</span>
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<pre>Warning message:
&#34;package &#39;e1071&#39; is in use and will not be installed&#34;</pre>
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<h4 id="Measure-performance---Random-Forest-Pre-RFE">Measure performance - Random Forest Pre-RFE<a class="anchor-link" href="#Measure-performance---Random-Forest-Pre-RFE">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create Confusion Matrix</span>
<span class="n">confusionMatrix</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>

<span class="n">install</span><span class="o">.</span><span class="n">packages</span><span class="p">(</span><span class="s2">&quot;pROC&quot;</span><span class="p">,</span> <span class="n">repos</span><span class="o">=</span><span class="s1">&#39;http://cran.us.r-project.org&#39;</span><span class="p">,</span><span class="n">dependencies</span> <span class="o">=</span> <span class="n">TRUE</span><span class="p">)</span>
<span class="n">library</span><span class="p">(</span><span class="n">pROC</span><span class="p">)</span>
<span class="c1"># area under a ROC curve</span>
<span class="n">auc</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">,</span><span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="p">))</span>
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<pre>Confusion Matrix and Statistics

          Reference
Prediction     0     1
         0 56693  7748
         1   107   535
                                          
               Accuracy : 0.8793          
                 95% CI : (0.8768, 0.8818)
    No Information Rate : 0.8727          
    P-Value [Acc &gt; NIR] : 2.048e-07       
                                          
                  Kappa : 0.1035          
 Mcnemar&#39;s Test P-Value : &lt; 2.2e-16       
                                          
            Sensitivity : 0.99812         
            Specificity : 0.06459         
         Pos Pred Value : 0.87977         
         Neg Pred Value : 0.83333         
             Prevalence : 0.87273         
         Detection Rate : 0.87109         
   Detection Prevalence : 0.99014         
      Balanced Accuracy : 0.53135         
                                          
       &#39;Positive&#39; Class : 0               
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<pre>also installing the dependencies &#39;misc3d&#39;, &#39;rgl&#39;, &#39;multicool&#39;, &#39;ks&#39;, &#39;microbenchmark&#39;, &#39;logcondens&#39;, &#39;doParallel&#39;

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<pre>package &#39;misc3d&#39; successfully unpacked and MD5 sums checked
package &#39;rgl&#39; successfully unpacked and MD5 sums checked
package &#39;multicool&#39; successfully unpacked and MD5 sums checked
package &#39;ks&#39; successfully unpacked and MD5 sums checked
package &#39;microbenchmark&#39; successfully unpacked and MD5 sums checked
package &#39;logcondens&#39; successfully unpacked and MD5 sums checked
package &#39;doParallel&#39; successfully unpacked and MD5 sums checked
package &#39;pROC&#39; successfully unpacked and MD5 sums checked

The downloaded binary packages are in
	C:\Users\Ethan\AppData\Local\Temp\Rtmp6ZpgeQ\downloaded_packages
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<pre>Warning message:
&#34;package &#39;pROC&#39; was built under R version 3.3.2&#34;Type &#39;citation(&#34;pROC&#34;)&#39; for a citation.

Attaching package: &#39;pROC&#39;

The following objects are masked from &#39;package:stats&#39;:

    cov, smooth, var

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0.531353160767089
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<h4 id="Recursive-Feature-Elimination-(RFE)">Recursive Feature Elimination (RFE)<a class="anchor-link" href="#Recursive-Feature-Elimination-(RFE)">&#182;</a></h4><p>So far we have not considered significance when cleansing the data set.  RFE analysis will identify a data set subset for optimal results.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Let&#39;s use RFE to see if we can prune some variables/features and hopefully get a better result</span>
<span class="nb">set</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">123</span><span class="p">)</span>
<span class="n">control</span> <span class="o">&lt;-</span> <span class="n">rfeControl</span><span class="p">(</span><span class="n">functions</span><span class="o">=</span><span class="n">rfFuncs</span><span class="p">,</span> <span class="n">method</span><span class="o">=</span><span class="s2">&quot;cv&quot;</span><span class="p">,</span> <span class="n">number</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">rfe</span> <span class="o">&lt;-</span> <span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">[</span><span class="n">sample</span><span class="p">(</span><span class="n">nrow</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">),</span><span class="mi">2000</span><span class="p">),]</span>
<span class="n">rfe</span><span class="o">.</span><span class="n">train</span> <span class="o">&lt;-</span> <span class="n">rfe</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">rfe</span><span class="p">[,</span><span class="mi">1</span><span class="p">:</span><span class="mi">42</span><span class="p">],</span> <span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">rfe</span><span class="p">[,</span><span class="mi">43</span><span class="p">],</span> <span class="n">sizes</span><span class="o">=</span><span class="mi">1</span><span class="p">:</span><span class="mi">42</span><span class="p">,</span> <span class="n">rfeControl</span><span class="o">=</span><span class="n">control</span><span class="p">)</span>

<span class="c1"># how big is the optimal variable subset?</span>
<span class="nb">print</span><span class="p">(</span><span class="n">rfe</span><span class="o">.</span><span class="n">train</span><span class="err">$</span><span class="n">bestSubset</span><span class="p">)</span>
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<pre>Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;Warning message in randomForest.default(x, y, importance = first, ...):
&#34;The response has five or fewer unique values.  Are you sure you want to do regression?&#34;</pre>
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<pre>[1] 3
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<h4 id="Plot-the-number-of-variables-vs.-RMSE">Plot the number of variables vs. RMSE<a class="anchor-link" href="#Plot-the-number-of-variables-vs.-RMSE">&#182;</a></h4>
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<div class="prompt input_prompt">In&nbsp;[73]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plot</span><span class="p">(</span><span class="n">rfe</span><span class="o">.</span><span class="n">train</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="n">c</span><span class="p">(</span><span class="s2">&quot;g&quot;</span><span class="p">,</span> <span class="s2">&quot;o&quot;</span><span class="p">),</span> <span class="n">cex</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">,</span> <span class="n">col</span> <span class="o">=</span> <span class="mi">1</span><span class="p">:</span><span class="mi">43</span><span class="p">)</span>
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<h4 id="What-specific-variables/features-comprise-the-optimal-subset?">What specific variables/features comprise the optimal subset?<a class="anchor-link" href="#What-specific-variables/features-comprise-the-optimal-subset?">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">predictors</span><span class="p">(</span><span class="n">rfe</span><span class="o">.</span><span class="n">train</span><span class="p">)</span>
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	<li>"last_credit_pull_d"</li>
	<li>"last_fico_range_low"</li>
	<li>"last_fico_range_high"</li>
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<h4 id="Train-Random-Forest-model-Post-RFE-and-generate-predictions">Train Random Forest model Post-RFE and generate predictions<a class="anchor-link" href="#Train-Random-Forest-model-Post-RFE-and-generate-predictions">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># According to RFE the optimal subset of variables is &quot;last_credit_pull_d&quot;, &quot;last_fico_range_high&quot;, &quot;last_fico_range_low&quot; </span>
<span class="c1"># Redo the Random Forest model with the optimal subset according to RFE</span>
<span class="nb">set</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">44</span><span class="p">)</span>
<span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="o">.</span><span class="n">opt</span> <span class="o">&lt;-</span> <span class="n">randomForest</span><span class="p">(</span><span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">default</span><span class="p">)</span><span class="o">~</span><span class="n">last_credit_pull_d</span><span class="o">+</span><span class="n">last_fico_range_high</span><span class="o">+</span><span class="n">last_fico_range_low</span><span class="p">,</span> 
                                                              <span class="n">data</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">,</span> <span class="n">ntree</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s1">&#39;classification&#39;</span><span class="p">)</span>

<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt</span> <span class="o">&lt;-</span> <span class="n">predict</span><span class="p">(</span><span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="o">.</span><span class="n">opt</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="p">)</span>
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<h4 id="Measure-performance---Random-Forest-Post-RFE">Measure performance - Random Forest Post-RFE<a class="anchor-link" href="#Measure-performance---Random-Forest-Post-RFE">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create Confusion Matrix</span>
<span class="n">confusionMatrix</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>

<span class="c1"># find area under a ROC curve</span>
<span class="n">auc</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">,</span><span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt</span><span class="p">))</span>
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<pre>Confusion Matrix and Statistics

          Reference
Prediction     0     1
         0 53876  2076
         1  2924  6207
                                          
               Accuracy : 0.9232          
                 95% CI : (0.9211, 0.9252)
    No Information Rate : 0.8727          
    P-Value [Acc &gt; NIR] : &lt; 2.2e-16       
                                          
                  Kappa : 0.6687          
 Mcnemar&#39;s Test P-Value : &lt; 2.2e-16       
                                          
            Sensitivity : 0.9485          
            Specificity : 0.7494          
         Pos Pred Value : 0.9629          
         Neg Pred Value : 0.6798          
             Prevalence : 0.8727          
         Detection Rate : 0.8278          
   Detection Prevalence : 0.8597          
      Balanced Accuracy : 0.8489          
                                          
       &#39;Positive&#39; Class : 0               
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<h4 id="Train-Random-Forest-model-Post-RFE-(increase-nodesize)-and-generate-predictions">Train Random Forest model Post-RFE (increase nodesize) and generate predictions<a class="anchor-link" href="#Train-Random-Forest-model-Post-RFE-(increase-nodesize)-and-generate-predictions">&#182;</a></h4><p>By increasing the nodesize, the number of nodes will decrease, thus simplifying the decision trees.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># redo with larger nodesize - should make tree simpler</span>
<span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="o">.</span><span class="n">opt2</span> <span class="o">&lt;-</span> <span class="n">randomForest</span><span class="p">(</span><span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">default</span><span class="p">)</span><span class="o">~</span><span class="n">last_credit_pull_d</span><span class="o">+</span><span class="n">last_fico_range_high</span><span class="o">+</span><span class="n">last_fico_range_low</span><span class="p">,</span> 
                           <span class="n">data</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">,</span> <span class="n">ntree</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="s1">&#39;classification&#39;</span><span class="p">,</span> <span class="n">nodesize</span><span class="o">=</span><span class="mi">800</span><span class="p">)</span>

<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt2</span> <span class="o">&lt;-</span> <span class="n">predict</span><span class="p">(</span><span class="n">rf</span><span class="o">.</span><span class="n">fit</span><span class="o">.</span><span class="n">opt2</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="p">)</span>
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<h4 id="Measure-performance---Random-Forest-Post-RFE-(increased-nodesize)">Measure performance - Random Forest Post-RFE (increased nodesize)<a class="anchor-link" href="#Measure-performance---Random-Forest-Post-RFE-(increased-nodesize)">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create Confusion Matrix</span>
<span class="n">confusionMatrix</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt2</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>

<span class="c1"># find Area Under a ROC Curve (AUC)</span>
<span class="n">auc</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">,</span><span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">pred</span><span class="o">.</span><span class="n">opt2</span><span class="p">))</span>
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<pre>Confusion Matrix and Statistics

          Reference
Prediction     0     1
         0 53906  2117
         1  2894  6166
                                         
               Accuracy : 0.923          
                 95% CI : (0.9209, 0.925)
    No Information Rate : 0.8727         
    P-Value [Acc &gt; NIR] : &lt; 2.2e-16      
                                         
                  Kappa : 0.6668         
 Mcnemar&#39;s Test P-Value : &lt; 2.2e-16      
                                         
            Sensitivity : 0.9490         
            Specificity : 0.7444         
         Pos Pred Value : 0.9622         
         Neg Pred Value : 0.6806         
             Prevalence : 0.8727         
         Detection Rate : 0.8283         
   Detection Prevalence : 0.8608         
      Balanced Accuracy : 0.8467         
                                         
       &#39;Positive&#39; Class : 0              
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<h3 id="Bagged-Decision-Trees">Bagged Decision Trees<a class="anchor-link" href="#Bagged-Decision-Trees">&#182;</a></h3><h4 id="Create-model-and-make-predictions">Create model and make predictions<a class="anchor-link" href="#Create-model-and-make-predictions">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># BAGGED DECISION TREES</span>
<span class="n">library</span><span class="p">(</span><span class="n">rpart</span><span class="p">)</span>
<span class="n">install</span><span class="o">.</span><span class="n">packages</span><span class="p">(</span><span class="s2">&quot;adabag&quot;</span><span class="p">,</span> <span class="n">repos</span><span class="o">=</span><span class="s1">&#39;http://cran.us.r-project.org&#39;</span><span class="p">,</span><span class="n">dependencies</span> <span class="o">=</span> <span class="n">TRUE</span><span class="p">)</span>
<span class="n">library</span><span class="p">(</span><span class="n">adabag</span><span class="p">)</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">factor</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="o">.</span><span class="n">factor</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>

<span class="c1"># mfinal indicates total number of trees grown </span>
<span class="c1"># and minsplit is the minimum number of observations that must exist in a node in order for a split to be attempted</span>
<span class="n">bdt</span><span class="o">.</span><span class="n">bagging</span> <span class="o">&lt;-</span> <span class="n">bagging</span><span class="p">(</span><span class="n">default</span><span class="o">.</span><span class="n">factor</span><span class="o">~</span><span class="n">last_credit_pull_d</span><span class="o">+</span><span class="n">last_fico_range_high</span><span class="o">+</span><span class="n">last_fico_range_low</span><span class="p">,</span> 
                            <span class="n">data</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="p">,</span> <span class="n">mfinal</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span> <span class="n">control</span><span class="o">=</span><span class="n">rpart</span><span class="o">.</span><span class="n">control</span><span class="p">(</span><span class="n">minsplit</span> <span class="o">=</span> <span class="mi">800</span><span class="p">))</span>

<span class="c1"># make predictions</span>
<span class="n">bdt</span><span class="o">.</span><span class="n">bagging</span><span class="o">.</span><span class="n">pred</span> <span class="o">&lt;-</span> <span class="n">predict</span><span class="o">.</span><span class="n">bagging</span><span class="p">(</span><span class="n">bdt</span><span class="o">.</span><span class="n">bagging</span><span class="p">,</span> <span class="n">newdata</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="p">)</span>
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<pre>package &#39;adabag&#39; successfully unpacked and MD5 sums checked

The downloaded binary packages are in
	C:\Users\Ethan\AppData\Local\Temp\Rtmp6ZpgeQ\downloaded_packages
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<pre>Warning message:
&#34;package &#39;adabag&#39; was built under R version 3.3.2&#34;Loading required package: mlbench
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<h4 id="Measure-performance---Bagged-Decision-Trees">Measure performance - Bagged Decision Trees<a class="anchor-link" href="#Measure-performance---Bagged-Decision-Trees">&#182;</a></h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create Confusion Matrix</span>
<span class="n">confusionMatrix</span><span class="p">(</span><span class="n">bdt</span><span class="o">.</span><span class="n">bagging</span><span class="o">.</span><span class="n">pred</span><span class="err">$</span><span class="n">class</span><span class="p">,</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">)</span>

<span class="c1"># find Area Under a ROC Curve (AUC)</span>
<span class="n">auc</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="err">$</span><span class="n">default</span><span class="p">,</span><span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="n">bdt</span><span class="o">.</span><span class="n">bagging</span><span class="o">.</span><span class="n">pred</span><span class="err">$</span><span class="n">class</span><span class="p">))</span>
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<pre>Confusion Matrix and Statistics

          Reference
Prediction     0     1
         0 53667  1882
         1  3133  6401
                                         
               Accuracy : 0.9229         
                 95% CI : (0.9209, 0.925)
    No Information Rate : 0.8727         
    P-Value [Acc &gt; NIR] : &lt; 2.2e-16      
                                         
                  Kappa : 0.6741         
 Mcnemar&#39;s Test P-Value : &lt; 2.2e-16      
                                         
            Sensitivity : 0.9448         
            Specificity : 0.7728         
         Pos Pred Value : 0.9661         
         Neg Pred Value : 0.6714         
             Prevalence : 0.8727         
         Detection Rate : 0.8246         
   Detection Prevalence : 0.8535         
      Balanced Accuracy : 0.8588         
                                         
       &#39;Positive&#39; Class : 0              
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0.858814593312622
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<h3 id="Bagged-Neural-Networks">Bagged Neural Networks<a class="anchor-link" href="#Bagged-Neural-Networks">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">library</span><span class="p">(</span><span class="n">nnet</span><span class="p">)</span>

<span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">nn</span> <span class="o">&lt;-</span> <span class="n">lending_club</span><span class="o">.</span><span class="n">train</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">nn</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="o">.</span><span class="n">nn</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">nn</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="p">))</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">nn</span> <span class="o">&lt;-</span> <span class="n">lending_club</span><span class="o">.</span><span class="n">test</span>
<span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">nn</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="o">.</span><span class="n">nn</span> <span class="o">&lt;-</span> <span class="k">as</span><span class="o">.</span><span class="n">numeric</span><span class="p">(</span><span class="k">as</span><span class="o">.</span><span class="n">factor</span><span class="p">(</span><span class="n">lending_club</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">nn</span><span class="err">$</span><span class="n">last_credit_pull_d</span><span class="p">))</span>

<span class="n">lc</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">fit</span> <span class="o">&lt;-</span> <span class="n">nnet</span><span class="p">(</span><span class="n">default</span><span class="o">~</span><span class="n">last_credit_pull_d</span><span class="o">.</span><span class="n">nn</span><span class="o">+</span><span class="n">last_fico_range_high</span><span class="o">+</span><span class="n">last_fico_range_low</span><span class="p">,</span>
                        <span class="n">data</span><span class="o">=</span><span class="n">lending_club</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">nn</span><span class="p">,</span> <span class="n">size</span> <span class="o">=</span> <span class="mi">2</span><span class="p">,</span> <span class="n">linout</span><span class="o">=</span><span class="n">FALSE</span><span class="p">)</span>
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<pre># weights:  11
initial  value 4735.968492 
final  value 2614.000000 
converged
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