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Chapter 12 codes Decision Tree uses random_state parameter to make pr…
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…edictable split.
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liuyubobobo committed Feb 6, 2018
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"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x113a4d4e0>"
"<matplotlib.figure.Figure at 0x10b5a9588>"
]
},
"metadata": {},
Expand All @@ -69,7 +69,7 @@
" max_features=None, max_leaf_nodes=None,\n",
" min_impurity_decrease=0.0, min_impurity_split=None,\n",
" min_samples_leaf=1, min_samples_split=2,\n",
" min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
" min_weight_fraction_leaf=0.0, presort=False, random_state=42,\n",
" splitter='best')"
]
},
Expand All @@ -81,7 +81,7 @@
"source": [
"from sklearn.tree import DecisionTreeClassifier\n",
"\n",
"dt_clf = DecisionTreeClassifier(max_depth=2, criterion=\"entropy\")\n",
"dt_clf = DecisionTreeClassifier(max_depth=2, criterion=\"entropy\", random_state=42)\n",
"dt_clf.fit(X, y)"
]
},
Expand Down Expand Up @@ -119,7 +119,7 @@
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x11397e0f0>"
"<matplotlib.figure.Figure at 0x116ba84e0>"
]
},
"metadata": {},
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