Introduction to Scikit-learn > Training a Decision Tree classifier | Python Programming | Department of Computing

Introduction to Scikit-learn

Chapter 6: Classification

Training a Decision Tree classifier

face Josiah Wang

Here is another example. This time we will train a Decision Tree classifier.

>>> from sklearn.tree import DecisionTreeClassifier
>>> dt_classifier = DecisionTreeClassifier(criterion="entropy", max_depth=5, min_samples_split=5)
>>> dt_classifier.fit(x_train, y_train)

After fitting the model, you will again have access to many different attributes, including a .tree_ attribute that allows you to analyse your resulting decision tree. Again, see the official documentation for DecisionTreeClassifier for more details.