tips-tricks.ipynb

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   "source": [
    "### Let's climb \"the leaderboards\"\n",
    "i.e. improve our score from our last model"
   ]
  },
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   "source": [
    "#import things needed for baseline and data \n",
    "#don't worry if there are some things you haven't seen yet, we'll go through it.\n",
    "from sklearn.datasets import fetch_openml\n",
    "from sklearn.linear_model import LinearRegression, RidgeCV, Ridge\n",
    "from sklearn.model_selection import train_test_split, cross_val_score, KFold\n",
    "from sklearn.metrics import mean_squared_error as mse\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
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   "source": [
    "# Predicting House Prices 💰🏡💰\n",
    "### We'll work on the same model, but this time we'll do better. :happysteurer:"
   ]
  },
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   "source": [
    "#repeat see last notebook for line by line comments explanations of old stuff\n",
    "data = fetch_openml(name=\"house_prices\", as_frame=True)\n",
    "ames = data['data']\n",
    "ames['Price'] = data['target']\n",
    "#we'll keep a few more features this time to show some interactions\n",
    "housing = ames[['LotArea', 'FullBath', 'Price', 'GrLivArea', 'YearBuilt']]"
   ]
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   "source": [
    "y = housing.Price\n",
    "features = ['LotArea', 'FullBath', 'GrLivArea', 'YearBuilt']\n",
    "X = housing[features]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
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   "source": [
    "model = LinearRegression()\n",
    "model.fit(X_train, y_train)\n",
    "test_predictions = model.predict(X_test)"
   ]
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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LotArea</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>Price</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LotArea</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.126031</td>\n",
       "      <td>0.263843</td>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.014228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullBath</th>\n",
       "      <td>0.126031</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.560664</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>0.468271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>0.263843</td>\n",
       "      <td>0.560664</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.708624</td>\n",
       "      <td>0.522897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrLivArea</th>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>0.708624</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.199010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>0.014228</td>\n",
       "      <td>0.468271</td>\n",
       "      <td>0.522897</td>\n",
       "      <td>0.199010</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            LotArea  FullBath     Price  GrLivArea  YearBuilt\n",
       "LotArea    1.000000  0.126031  0.263843   0.263116   0.014228\n",
       "FullBath   0.126031  1.000000  0.560664   0.630012   0.468271\n",
       "Price      0.263843  0.560664  1.000000   0.708624   0.522897\n",
       "GrLivArea  0.263116  0.630012  0.708624   1.000000   0.199010\n",
       "YearBuilt  0.014228  0.468271  0.522897   0.199010   1.000000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.corr()"
   ]
  },
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   "source": [
    "#use root mean squared error so the error looks more meaningful\n",
    "#gradient descent wouldn't care\n",
    "def rmse(y_pred, y_true):\n",
    "    return np.sqrt(mse(y_pred, y_true))"
   ]
  },
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     "text": [
      "our mean squared error for the test set is 49302.932286924544\n"
     ]
    }
   ],
   "source": [
    "test_error = rmse(test_predictions, y_test)\n",
    "print(f\"our mean squared error for the test set is {test_error}\")"
   ]
  },
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   "source": [
    "#initialize a dictionary to keep track of stuff\n",
    "results = {}\n",
    "#add item to dict\n",
    "results['baseline'] = test_error"
   ]
  },
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   "execution_count": 9,
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   "source": [
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])"
   ]
  },
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   "source": [
    "# Non Linear Features Relationships between features and your target\n",
    "Remember to graph and explore your data."
   ]
  },
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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"darkgrid\")\n",
    "fig, axes = plt.subplots(1, 2, figsize = (12,5), sharey=True)\n",
    "\n",
    "axes[0].set_title(\"with outliers\")\n",
    "sns.scatterplot(ax = axes[0], x = \"LotArea\", y = \"Price\", hue=\"FullBath\", data = housing);\n",
    "axes[1].set_title(\"without outliers\")\n",
    "sns.scatterplot(ax = axes[1], x = \"LotArea\", y = \"Price\", hue=\"FullBath\",\n",
    "            data = housing[housing.LotArea < housing.LotArea.quantile(q=0.95)]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "609f15ae",
   "metadata": {
    "papermill": {
     "duration": 0.052624,
     "end_time": "2022-03-15T17:05:05.320400",
     "exception": false,
     "start_time": "2022-03-15T17:05:05.267776",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Well the right looks somewhat exponential/quadratic?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2115f228",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:05.429510Z",
     "iopub.status.busy": "2022-03-15T17:05:05.428583Z",
     "iopub.status.idle": "2022-03-15T17:05:06.277090Z",
     "shell.execute_reply": "2022-03-15T17:05:06.277600Z",
     "shell.execute_reply.started": "2022-03-15T16:37:30.531073Z"
    },
    "papermill": {
     "duration": 0.90458,
     "end_time": "2022-03-15T17:05:06.277795",
     "exception": false,
     "start_time": "2022-03-15T17:05:05.373215",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"darkgrid\")\n",
    "fig, axes = plt.subplots(1, 2, figsize = (12,5), sharey=True)\n",
    "\n",
    "axes[0].set_title(\"with outliers\")\n",
    "sns.scatterplot(ax = axes[0], x = \"GrLivArea\", y = \"Price\", hue=\"FullBath\", data = housing);\n",
    "axes[1].set_title(\"without outliers\")\n",
    "sns.scatterplot(ax = axes[1], x = \"GrLivArea\", y = \"Price\", hue=\"FullBath\",\n",
    "            data = housing[housing.GrLivArea < housing.GrLivArea.quantile(q=0.95)]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2a5cb8cb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:06.400632Z",
     "iopub.status.busy": "2022-03-15T17:05:06.399902Z",
     "iopub.status.idle": "2022-03-15T17:05:07.297562Z",
     "shell.execute_reply": "2022-03-15T17:05:07.298133Z",
     "shell.execute_reply.started": "2022-03-15T16:37:31.413675Z"
    },
    "papermill": {
     "duration": 0.962969,
     "end_time": "2022-03-15T17:05:07.298342",
     "exception": false,
     "start_time": "2022-03-15T17:05:06.335373",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize = (12,5), sharey=True)\n",
    "\n",
    "axes[0].set_title(\"with outliers\")\n",
    "sns.scatterplot(ax = axes[0], x = \"YearBuilt\", y = \"Price\", hue=\"FullBath\", data = housing);\n",
    "axes[1].set_title(\"without outliers\")\n",
    "sns.scatterplot(ax = axes[1], x = \"YearBuilt\", y = \"Price\", hue=\"FullBath\",\n",
    "            data = housing[(housing.YearBuilt < housing.YearBuilt.quantile(q=0.95)) & (housing.Price < housing.Price.quantile(q=0.95))]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cb743dbd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:07.434135Z",
     "iopub.status.busy": "2022-03-15T17:05:07.433042Z",
     "iopub.status.idle": "2022-03-15T17:05:08.609951Z",
     "shell.execute_reply": "2022-03-15T17:05:08.610503Z",
     "shell.execute_reply.started": "2022-03-15T16:37:32.342066Z"
    },
    "papermill": {
     "duration": 1.248771,
     "end_time": "2022-03-15T17:05:08.610704",
     "exception": false,
     "start_time": "2022-03-15T17:05:07.361933",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Often it is worth checking out of there are interactions within features, in our case, at least to me it doesn't seem like it\n",
    "fig, axes = plt.subplots(1, 2, figsize = (12,5), sharey=True)\n",
    "\n",
    "axes[0].set_title(\"with outliers\")\n",
    "sns.scatterplot(ax = axes[0], x = \"YearBuilt\", y = \"GrLivArea\", hue=\"Price\", data = housing);\n",
    "axes[1].set_title(\"without outliers\")\n",
    "sns.scatterplot(ax = axes[1], x = \"YearBuilt\", y = \"GrLivArea\", hue=\"Price\",\n",
    "            data = housing[(housing.GrLivArea < housing.GrLivArea.quantile(q=0.95)) & (housing.YearBuilt < housing.YearBuilt.quantile(q=0.95))]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5e043602",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:08.750998Z",
     "iopub.status.busy": "2022-03-15T17:05:08.750328Z",
     "iopub.status.idle": "2022-03-15T17:05:08.761567Z",
     "shell.execute_reply": "2022-03-15T17:05:08.762124Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.438827Z"
    },
    "papermill": {
     "duration": 0.083285,
     "end_time": "2022-03-15T17:05:08.762300",
     "exception": false,
     "start_time": "2022-03-15T17:05:08.679015",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LotArea</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LotArea</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.126031</td>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.014228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullBath</th>\n",
       "      <td>0.126031</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>0.468271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrLivArea</th>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.199010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>0.014228</td>\n",
       "      <td>0.468271</td>\n",
       "      <td>0.199010</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            LotArea  FullBath  GrLivArea  YearBuilt\n",
       "LotArea    1.000000  0.126031   0.263116   0.014228\n",
       "FullBath   0.126031  1.000000   0.630012   0.468271\n",
       "GrLivArea  0.263116  0.630012   1.000000   0.199010\n",
       "YearBuilt  0.014228  0.468271   0.199010   1.000000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#you can also check correlation if visual is not your thing\n",
    "X.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f3f492",
   "metadata": {
    "papermill": {
     "duration": 0.065951,
     "end_time": "2022-03-15T17:05:08.895906",
     "exception": false,
     "start_time": "2022-03-15T17:05:08.829955",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Polynomial features\n",
    "sklearns preprocessing module has a function https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html that you can use to create polynomial features on the fly.\n",
    "But watch out for feature explosion! \n",
    "It's often more efficient to just do it by hand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "314592e5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:09.036043Z",
     "iopub.status.busy": "2022-03-15T17:05:09.035345Z",
     "iopub.status.idle": "2022-03-15T17:05:09.049637Z",
     "shell.execute_reply": "2022-03-15T17:05:09.050543Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.453187Z"
    },
    "papermill": {
     "duration": 0.087764,
     "end_time": "2022-03-15T17:05:09.050827",
     "exception": false,
     "start_time": "2022-03-15T17:05:08.963063",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"\n",
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  if __name__ == '__main__':\n",
      "/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    }
   ],
   "source": [
    "#yearbuilt looks like it has a somewhat quadratic relationship, lets see if it helps\n",
    "X_train['yearsq'] = X_train.YearBuilt**2\n",
    "X_test['yearsq'] = X_test.YearBuilt**2\n",
    "# exp\n",
    "X_train['yearexp'] = X_train.YearBuilt.apply(np.log)\n",
    "X_test['yearexp'] = X_test.YearBuilt.apply(np.log)\n",
    "\n",
    "#Lot area too, lets try that\n",
    "X_train['lotsq'] = X_train.LotArea**2\n",
    "X_test['lotsq'] = X_test.LotArea**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f7817900",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:09.191701Z",
     "iopub.status.busy": "2022-03-15T17:05:09.191062Z",
     "iopub.status.idle": "2022-03-15T17:05:09.209085Z",
     "shell.execute_reply": "2022-03-15T17:05:09.209613Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.470059Z"
    },
    "papermill": {
     "duration": 0.08974,
     "end_time": "2022-03-15T17:05:09.209837",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.120097",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>baseline</th>\n",
       "      <td>49302.932287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quadratic</th>\n",
       "      <td>47773.863439</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             test_error\n",
       "baseline   49302.932287\n",
       "quadratic  47773.863439"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = ['FullBath', 'LotArea', 'yearsq', 'GrLivArea', 'YearBuilt', 'lotsq']\n",
    "model = LinearRegression()\n",
    "model.fit(X_train[features], y_train)\n",
    "test_predictions = model.predict(X_test[features])\n",
    "test_error = rmse(test_predictions, y_test)\n",
    "results['quadratic'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])\n",
    "experiments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "90d489f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:09.348729Z",
     "iopub.status.busy": "2022-03-15T17:05:09.348127Z",
     "iopub.status.idle": "2022-03-15T17:05:09.355299Z",
     "shell.execute_reply": "2022-03-15T17:05:09.355881Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.491521Z"
    },
    "papermill": {
     "duration": 0.078184,
     "end_time": "2022-03-15T17:05:09.356061",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.277877",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "test_error   -1529.068848\n",
       "dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['quadratic'] - experiments.loc['baseline']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c5992544",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:09.495312Z",
     "iopub.status.busy": "2022-03-15T17:05:09.494568Z",
     "iopub.status.idle": "2022-03-15T17:05:09.501476Z",
     "shell.execute_reply": "2022-03-15T17:05:09.500905Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.500249Z"
    },
    "papermill": {
     "duration": 0.078213,
     "end_time": "2022-03-15T17:05:09.501635",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.423422",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error difference between baseline and quadratic test_error   -1529.068848\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(f\"Error difference between baseline and quadratic {experiments.loc['quadratic'] - experiments.loc['baseline']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec017f12",
   "metadata": {
    "papermill": {
     "duration": 0.069434,
     "end_time": "2022-03-15T17:05:09.639339",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.569905",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Yay, small improvement!\n",
    "Maybe you want to add a cell and check the training error <br/>\n",
    "Add higher degree polynomials<br/>\n",
    "and try using the exp. feature in a fit we haven't used yet.<br/>\n",
    "Think about using only one of the two, or experiment, why is it likely not good to use both?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4b3537a",
   "metadata": {
    "papermill": {
     "duration": 0.070098,
     "end_time": "2022-03-15T17:05:09.777902",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.707804",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Outliers\n",
    "High leverage and High influence points can hurt and influence your model as you've seen in the lecture (nice graph right?) <br/>\n",
    "Let's see if our model does better without them.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "815bd67e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:09.922454Z",
     "iopub.status.busy": "2022-03-15T17:05:09.921677Z",
     "iopub.status.idle": "2022-03-15T17:05:10.234627Z",
     "shell.execute_reply": "2022-03-15T17:05:10.235157Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.513312Z"
    },
    "papermill": {
     "duration": 0.386759,
     "end_time": "2022-03-15T17:05:10.235354",
     "exception": false,
     "start_time": "2022-03-15T17:05:09.848595",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(15,15)})\n",
    "plt.scatter(X_train.GrLivArea, y_train, c = \"blue\")\n",
    "plt.title(\"Looking for outliers\")\n",
    "plt.xlabel(\"GrLivArea\")\n",
    "plt.ylabel(\"SalePrice\")\n",
    "plt.show()\n",
    "\n",
    "#outliers bad, go away\n",
    "X_train_outliers = X_train[X_train.GrLivArea < 4000].copy()\n",
    "y_train_outliers = y_train[X_train.GrLivArea < 4000].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1271f8ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:10.397936Z",
     "iopub.status.busy": "2022-03-15T17:05:10.389437Z",
     "iopub.status.idle": "2022-03-15T17:05:10.401687Z",
     "shell.execute_reply": "2022-03-15T17:05:10.401157Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.7801Z"
    },
    "papermill": {
     "duration": 0.094361,
     "end_time": "2022-03-15T17:05:10.401850",
     "exception": false,
     "start_time": "2022-03-15T17:05:10.307489",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>baseline</th>\n",
       "      <td>49302.932287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quadratic</th>\n",
       "      <td>47773.863439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fewer outliers</th>\n",
       "      <td>46844.717702</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  test_error\n",
       "baseline        49302.932287\n",
       "quadratic       47773.863439\n",
       "fewer outliers  46844.717702"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = LinearRegression()\n",
    "model.fit(X_train_outliers[features], y_train_outliers)\n",
    "test_predictions = model.predict(X_test[features])\n",
    "test_error = rmse(test_predictions, y_test)\n",
    "results['fewer outliers'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])\n",
    "experiments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dbea5ec1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:10.550105Z",
     "iopub.status.busy": "2022-03-15T17:05:10.549427Z",
     "iopub.status.idle": "2022-03-15T17:05:10.557923Z",
     "shell.execute_reply": "2022-03-15T17:05:10.557216Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.802353Z"
    },
    "papermill": {
     "duration": 0.083817,
     "end_time": "2022-03-15T17:05:10.558134",
     "exception": false,
     "start_time": "2022-03-15T17:05:10.474317",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "test_error   -929.145736\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['fewer outliers'] - experiments.loc['quadratic']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "714a35dc",
   "metadata": {
    "papermill": {
     "duration": 0.072544,
     "end_time": "2022-03-15T17:05:10.705103",
     "exception": false,
     "start_time": "2022-03-15T17:05:10.632559",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# yay another small improvement to the previous improvement!\n",
    "now this was very visual, but you can also achieve the same with looking at some pandas statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f9b2370c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:10.864996Z",
     "iopub.status.busy": "2022-03-15T17:05:10.863930Z",
     "iopub.status.idle": "2022-03-15T17:05:10.881434Z",
     "shell.execute_reply": "2022-03-15T17:05:10.882007Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.812015Z"
    },
    "papermill": {
     "duration": 0.103587,
     "end_time": "2022-03-15T17:05:10.882197",
     "exception": false,
     "start_time": "2022-03-15T17:05:10.778610",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LotArea</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>YearBuilt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10516.828082</td>\n",
       "      <td>1.565068</td>\n",
       "      <td>1515.463699</td>\n",
       "      <td>1971.267808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9981.264932</td>\n",
       "      <td>0.550916</td>\n",
       "      <td>525.480383</td>\n",
       "      <td>30.202904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1300.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7553.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1129.500000</td>\n",
       "      <td>1954.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9478.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1464.000000</td>\n",
       "      <td>1973.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11601.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1776.750000</td>\n",
       "      <td>2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>215245.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5642.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             LotArea     FullBath    GrLivArea    YearBuilt\n",
       "count    1460.000000  1460.000000  1460.000000  1460.000000\n",
       "mean    10516.828082     1.565068  1515.463699  1971.267808\n",
       "std      9981.264932     0.550916   525.480383    30.202904\n",
       "min      1300.000000     0.000000   334.000000  1872.000000\n",
       "25%      7553.500000     1.000000  1129.500000  1954.000000\n",
       "50%      9478.500000     2.000000  1464.000000  1973.000000\n",
       "75%     11601.500000     2.000000  1776.750000  2000.000000\n",
       "max    215245.000000     3.000000  5642.000000  2010.000000"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bfbfb74",
   "metadata": {
    "papermill": {
     "duration": 0.072223,
     "end_time": "2022-03-15T17:05:11.026644",
     "exception": false,
     "start_time": "2022-03-15T17:05:10.954421",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### btw, how can you relate the outliers to why you'd want to do k-fold cross-validation in addition to having a test set?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fddb602f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:11.175329Z",
     "iopub.status.busy": "2022-03-15T17:05:11.174657Z",
     "iopub.status.idle": "2022-03-15T17:05:11.180674Z",
     "shell.execute_reply": "2022-03-15T17:05:11.181265Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.841644Z"
    },
    "papermill": {
     "duration": 0.082475,
     "end_time": "2022-03-15T17:05:11.181436",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.098961",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#then use a mask like this to get rid of the outliers\n",
    "#We'll only get rid of outliers to the right, but you can try to add a boolean to the left see if it helps and 95th percentile is arbitray, I think .75 is more like we did already\n",
    "mask = X_train.LotArea < X_train.quantile(q = 0.95).LotArea\n",
    "\n",
    "#exercise: make mask for GrLivArea we did manually with quantiles like above and apply:\n",
    "\n",
    "# experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])\n",
    "# experiments.head()"
   ]
  },
  {
   "attachments": {
    "805114d7-1448-4d62-b833-6c3b84e894a5.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "bc8fe4a4",
   "metadata": {
    "papermill": {
     "duration": 0.071896,
     "end_time": "2022-03-15T17:05:11.325671",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.253775",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Le Trade Off the Bias et Variance :cringe: & Cross Validation\n",
    "### we can actually make use of this\n",
    "![image.png](attachment:805114d7-1448-4d62-b833-6c3b84e894a5.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aaa1bc0d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:11.480038Z",
     "iopub.status.busy": "2022-03-15T17:05:11.474000Z",
     "iopub.status.idle": "2022-03-15T17:05:11.529012Z",
     "shell.execute_reply": "2022-03-15T17:05:11.529730Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.849336Z"
    },
    "papermill": {
     "duration": 0.131241,
     "end_time": "2022-03-15T17:05:11.530001",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.398760",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score on fold 0 was 38384.291218222956\n",
      "score on fold 1 was 39546.3296870538\n",
      "score on fold 2 was 44872.3315609918\n",
      "score on fold 3 was 42095.23942675825\n",
      "score on fold 4 was 34956.97598440188\n",
      "average validation score was 39971.03357548574\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/sklearn/model_selection/_split.py:297: FutureWarning: Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
      "  FutureWarning\n"
     ]
    }
   ],
   "source": [
    "n_folds = 5\n",
    "#this lets you create 5 folds on which you can train and validate on you import it from sklearn.model_selection\n",
    "kfold = KFold(n_splits = n_folds, random_state = 42) #you could shuffle but lets keep it simple\n",
    "#Cross validation is huge, I may add another notebook later, here it mainly serves a different purpose than assesing your models robustness, though we get this too as a gift\n",
    "predictions = np.zeros_like(y_test) # see numpy pandas minireference\n",
    "val_scores = 0\n",
    "X_train_outliers.reset_index(inplace = True, drop = True)\n",
    "for fold, (train_indices, validation_indices) in enumerate(kfold.split(X_train_outliers)): #note we still have our test set\n",
    "    model = LinearRegression()\n",
    "    #train on 4 folds\n",
    "    model.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    #check performance on 5th fold\n",
    "    val_pred = model.predict(X_train_outliers.loc[validation_indices, features])\n",
    "    val_score = rmse(val_pred, y_train_outliers.iloc[validation_indices])\n",
    "    print(f\"score on fold {fold} was {val_score}\")\n",
    "    val_scores += val_score / n_folds\n",
    "    #now the trick\n",
    "    predictions += model.predict(X_test[features])\n",
    "    \n",
    "print(f\"average validation score was {val_scores}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8515cfc5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:11.683949Z",
     "iopub.status.busy": "2022-03-15T17:05:11.683284Z",
     "iopub.status.idle": "2022-03-15T17:05:11.693445Z",
     "shell.execute_reply": "2022-03-15T17:05:11.694113Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.905832Z"
    },
    "papermill": {
     "duration": 0.088703,
     "end_time": "2022-03-15T17:05:11.694317",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.605614",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>baseline</th>\n",
       "      <td>49302.932287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quadratic</th>\n",
       "      <td>47773.863439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fewer outliers</th>\n",
       "      <td>46844.717702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5fold</th>\n",
       "      <td>46829.185121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  test_error\n",
       "baseline        49302.932287\n",
       "quadratic       47773.863439\n",
       "fewer outliers  46844.717702\n",
       "5fold           46829.185121"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = predictions / n_folds\n",
    "test_error = rmse(predictions, y_test)\n",
    "results['5fold'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])\n",
    "experiments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "387a4db3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:11.850484Z",
     "iopub.status.busy": "2022-03-15T17:05:11.849765Z",
     "iopub.status.idle": "2022-03-15T17:05:11.857301Z",
     "shell.execute_reply": "2022-03-15T17:05:11.857905Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.918539Z"
    },
    "papermill": {
     "duration": 0.085941,
     "end_time": "2022-03-15T17:05:11.858113",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.772172",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "test_error   -15.532582\n",
       "dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['5fold'] - experiments.loc['fewer outliers']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "722beed2",
   "metadata": {
    "papermill": {
     "duration": 0.073555,
     "end_time": "2022-03-15T17:05:12.004920",
     "exception": false,
     "start_time": "2022-03-15T17:05:11.931365",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### cheeky isn't it? try with better folds (split more equally, stratified or groupkfold with bins\n",
    "### and try more folds! is there a performance tradeoff?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3567585d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:12.162624Z",
     "iopub.status.busy": "2022-03-15T17:05:12.161705Z",
     "iopub.status.idle": "2022-03-15T17:05:12.164824Z",
     "shell.execute_reply": "2022-03-15T17:05:12.164248Z",
     "shell.execute_reply.started": "2022-03-15T16:37:33.935737Z"
    },
    "papermill": {
     "duration": 0.083127,
     "end_time": "2022-03-15T17:05:12.164960",
     "exception": false,
     "start_time": "2022-03-15T17:05:12.081833",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Congrats, you basically done ensembling now, we don't need aml anymore"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b870d153",
   "metadata": {
    "papermill": {
     "duration": 0.074032,
     "end_time": "2022-03-15T17:05:12.313134",
     "exception": false,
     "start_time": "2022-03-15T17:05:12.239102",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### ok, there is actually more to ensembling than this, let's try a few more.\n",
    "### we are not restricted to linear regression, or even sklearn\n",
    "\n",
    "\n",
    "## enter lightgbm, these are forests, which are actually ensembles of little decision trees, I'll make a cheatsheet on how they work later"
   ]
  },
  {
   "cell_type": "code",
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       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/sklearn/model_selection/_split.py:297: FutureWarning: Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score on fold 0 was 36804.27321975706\n",
      "score on fold 1 was 39077.91341735115\n",
      "score on fold 2 was 43078.16288622477\n",
      "score on fold 3 was 37942.479408124054\n",
      "score on fold 4 was 31519.429259781245\n"
     ]
    }
   ],
   "source": [
    "from lightgbm import LGBMRegressor as lgb\n",
    "n_folds = 5\n",
    "#this lets you create 5 folds on which you can train and validate on you import it from sklearn.model_selection\n",
    "kfold = KFold(n_splits = n_folds, random_state = 42) #you could shuffle but lets keep it simple\n",
    "#Cross validation is huge, I may add another notebook later, here it mainly serves a different purpose than assesing your models robustness, though we get this too as a gift\n",
    "predictions = np.zeros_like(y_test) # see numpy pandas minireference\n",
    "X_train_outliers.reset_index(inplace = True, drop = True)\n",
    "for fold, (train_indices, validation_indices) in enumerate(kfold.split(X_train_outliers)): #note we still have our test set\n",
    "    model = lgb()\n",
    "    #train on 4 folds\n",
    "    model.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    #check performance on 5th fold\n",
    "    val_pred = model.predict(X_train_outliers.loc[validation_indices, features])\n",
    "    print(f\"score on fold {fold} was {rmse(val_pred, y_train_outliers.iloc[validation_indices])}\")\n",
    "    #now the trick\n",
    "    predictions += model.predict(X_test[features])\n",
    "    \n",
    "predictions = predictions / n_folds\n",
    "test_error = rmse(predictions, y_test)\n",
    "results['5fold_lgb'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2fcc9642",
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    {
     "data": {
      "text/plain": [
       "test_error   -6189.460047\n",
       "dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['5fold_lgb'] - experiments.loc['5fold']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3d2819f7",
   "metadata": {
    "execution": {
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   "source": [
    "## to do, go find randomforestregressor on sklearn and use that and ridge/lasso/elasticnet (what about the parameters, how would you now choose the best ones?)\n",
    "### todo ###\n",
    "\n",
    "# n_folds = 5\n",
    "# #this lets you create 5 folds on which you can train and validate on you import it from sklearn.model_selection\n",
    "# kfold = KFold(n_splits = n_folds, random_state = 42) #you could shuffle but lets keep it simple\n",
    "# #Cross validation is huge, I may add another notebook later, here it mainly serves a different purpose than assesing your models robustness, though we get this too as a gift\n",
    "# predictions = np.zeros_like(y_test) # see numpy pandas minireference\n",
    "# X_train_outliers.reset_index(inplace = True, drop = True)\n",
    "# for fold, (train_indices, validation_indices) in enumerate(kfold.split(X_train_outliers)): #note we still have our test set\n",
    "#     model = ###\n",
    "#     #train on 4 folds\n",
    "#     model.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "#     #check performance on 5th fold\n",
    "#     val_pred = model.predict(X_train_outliers.loc[validation_indices, features])\n",
    "#     print(f\"score on fold {fold} was {rmse(val_pred, y_train_outliers.iloc[validation_indices])}\")\n",
    "#     #now the trick\n",
    "#     predictions += model.predict(X_test[features])\n",
    "    \n",
    "# predictions = predictions / n_folds\n",
    "# test_error = rmse(predictions, y_test)\n",
    "# results['5fold_best_model_uwu'] = test_error\n",
    "# experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0d1a4a6",
   "metadata": {
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     "duration": 0.079159,
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     "status": "completed"
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    "tags": []
   },
   "source": [
    "# but, can we do better? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8d97f776",
   "metadata": {
    "execution": {
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     "status": "completed"
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    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/sklearn/model_selection/_split.py:297: FutureWarning: Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score on fold 0 was 35092.15829856064\n",
      "score on fold 1 was 37019.948982032256\n",
      "score on fold 2 was 41931.87628020813\n",
      "score on fold 3 was 37893.23572115866\n",
      "score on fold 4 was 31018.597373848384\n"
     ]
    }
   ],
   "source": [
    "n_folds = 5\n",
    "#this lets you create 5 folds on which you can train and validate on you import it from sklearn.model_selection\n",
    "kfold = KFold(n_splits = n_folds, random_state = 42) #you could shuffle but lets keep it simple\n",
    "#Cross validation is huge, I may add another notebook later, here it mainly serves a different purpose than assesing your models robustness, though we get this too as a gift\n",
    "predictions = np.zeros_like(y_test) # see numpy pandas minireference\n",
    "X_train_outliers.reset_index(inplace = True, drop = True)\n",
    "for fold, (train_indices, validation_indices) in enumerate(kfold.split(X_train_outliers)): #note we still have our test set\n",
    "    model1 = lgb()\n",
    "    model2 = LinearRegression()\n",
    "    #train on 4 folds\n",
    "    model1.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    model2.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    #check performance on 5th fold\n",
    "    val_pred = model1.predict(X_train_outliers.loc[validation_indices, features]) + model2.predict(X_train_outliers.loc[validation_indices, features])\n",
    "    val_pred = val_pred / 2.0\n",
    "    print(f\"score on fold {fold} was {rmse(val_pred, y_train_outliers.iloc[validation_indices])}\")\n",
    "    #now the trick\n",
    "    predictions += (model1.predict(X_test[features]) + model2.predict(X_test[features])) / 2.0\n",
    "    \n",
    "predictions = predictions / n_folds\n",
    "test_error = rmse(predictions, y_test)\n",
    "results['5fold_mix'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])"
   ]
  },
  {
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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>test_error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>baseline</th>\n",
       "      <td>49302.932287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quadratic</th>\n",
       "      <td>47773.863439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fewer outliers</th>\n",
       "      <td>46844.717702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5fold</th>\n",
       "      <td>46829.185121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5fold_lgb</th>\n",
       "      <td>40639.725073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5fold_mix</th>\n",
       "      <td>42105.392347</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                  test_error\n",
       "baseline        49302.932287\n",
       "quadratic       47773.863439\n",
       "fewer outliers  46844.717702\n",
       "5fold           46829.185121\n",
       "5fold_lgb       40639.725073\n",
       "5fold_mix       42105.392347"
      ]
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     "metadata": {},
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   ],
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    "experiments"
   ]
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  {
   "cell_type": "code",
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   "id": "d062feb7",
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    "execution": {
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     "shell.execute_reply.started": "2022-03-15T16:37:35.926564Z"
    },
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     "duration": 0.090185,
     "end_time": "2022-03-15T17:05:15.705774",
     "exception": false,
     "start_time": "2022-03-15T17:05:15.615589",
     "status": "completed"
    },
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "test_error    1465.667274\n",
       "dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['5fold_mix'] - experiments.loc['5fold_lgb']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7142a312",
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    "tags": []
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   "source": [
    "### ah, failure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "85f05bf7",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/sklearn/model_selection/_split.py:297: FutureWarning: Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "score on fold 0 was 35026.83870079206\n",
      "score on fold 1 was 37064.73499751599\n",
      "score on fold 2 was 41827.69706049116\n",
      "score on fold 3 was 37542.728930208905\n",
      "score on fold 4 was 30742.884780463202\n"
     ]
    }
   ],
   "source": [
    "n_folds = 5\n",
    "#this lets you create 5 folds on which you can train and validate on you import it from sklearn.model_selection\n",
    "kfold = KFold(n_splits = n_folds, random_state = 42) #you could shuffle but lets keep it simple\n",
    "#Cross validation is huge, I may add another notebook later, here it mainly serves a different purpose than assesing your models robustness, though we get this too as a gift\n",
    "predictions = np.zeros_like(y_test) # see numpy pandas minireference\n",
    "X_train_outliers.reset_index(inplace = True, drop = True)\n",
    "for fold, (train_indices, validation_indices) in enumerate(kfold.split(X_train_outliers)): #note we still have our test set\n",
    "    model1 = lgb()\n",
    "    model2 = LinearRegression()\n",
    "    #train on 4 folds\n",
    "    model1.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    model2.fit(X_train_outliers.loc[train_indices, features], y_train_outliers.iloc[train_indices])\n",
    "    #check performance on 5th fold\n",
    "    val_pred = model1.predict(X_train_outliers.loc[validation_indices, features])*0.6 + model2.predict(X_train_outliers.loc[validation_indices, features])*0.4\n",
    "    print(f\"score on fold {fold} was {rmse(val_pred, y_train_outliers.iloc[validation_indices])}\")\n",
    "    #now the trick\n",
    "    predictions += (model1.predict(X_test[features])*0.6 + model2.predict(X_test[features])*0.4)\n",
    "    \n",
    "predictions = predictions / n_folds\n",
    "test_error = rmse(predictions, y_test)\n",
    "results['5fold_weighted'] = test_error\n",
    "experiments = pd.DataFrame.from_dict(results, orient='index', columns = ['test_error'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "32ca080e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:16.713584Z",
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    {
     "data": {
      "text/plain": [
       "test_error    889.80859\n",
       "dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "experiments.loc['5fold_weighted'] - experiments.loc['5fold_lgb']"
   ]
  },
  {
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     "start_time": "2022-03-15T17:05:16.798317",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### hmm, it seems like we could find the right weights, sound familiar?\n",
    "\n",
    "### yes, that's just x1 * w1 + x2 * w2 + w0\n",
    "# if that gives you an idea, try it, there is many ways to utilize this insight 🔬🧪🧮"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a090b92c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-03-15T17:05:17.048463Z",
     "iopub.status.busy": "2022-03-15T17:05:17.047541Z",
     "iopub.status.idle": "2022-03-15T17:05:17.050489Z",
     "shell.execute_reply": "2022-03-15T17:05:17.049906Z",
     "shell.execute_reply.started": "2022-03-15T16:37:36.433808Z"
    },
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     "status": "completed"
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   "source": [
    "### to do ### \n",
    "# throw spaghetti at the wall and see what sticks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "980210af",
   "metadata": {
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     "duration": 0.081735,
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     "start_time": "2022-03-15T17:05:17.130081",
     "status": "completed"
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   },
   "source": [
    "# mega to do # \n",
    "try Lasso and look at .coefs_ to choose features, not everything is helpful and a lot of features may hurt, redundancy is poison!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "909387e2",
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     "status": "completed"
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   },
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   "source": []
  }
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