Tree Classifier - Focus on min_samples_split parameter

Importing Modules



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from sklearn import tree



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if 'features_train' not in locals() or globals():
    %run ../dev/environment_setup.ipynb



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clf = tree.DecisionTreeClassifier() #if nothing is specified default value is 2



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train_predict("Train and Predict Data with min_samples_split = 2")



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clf = tree.DecisionTreeClassifier(min_samples_split=40)



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train_predict("Train and Predict Data with min_samples_split = 40")