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- # Create Decision Tree classifer object
- clf = DecisionTreeClassifier(criterion="entropy", max_depth=3)
- # Train Decision Tree Classifer
- clf = clf.fit(X_train,y_train)
- r1 = (df['glucose']<=127.5) & (df['bmi']<=26.45) & (df['bmi']<=9.1)
- ……
- r8 = (df['glucose']>127.5) & (df['bmi']>28.15) & (df['glucose']>158.5)
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