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@ -41,4 +41,14 @@ y = df['Decision']
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dtree = DecisionTreeClassifier()
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dtree = dtree.fit(X, y)
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data = tree.export_graphviz(dtree, out_file=None, feature_names=features)
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graph = pydotplus.graph_from_dot_data(data)
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graph.write_png('mydecisiontree.png')
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img = pltimg.imread('mydecisiontree.png')
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imgplot = plt.imshow(img)
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plt.show()
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#print(dtree.predict([[0, 1, 0, 0, 0, 1]]))
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