nltk.classify.DecisionTreeClassifier.train¶

static DecisionTreeClassifier.train(labeled_featuresets, entropy_cutoff=0.05, depth_cutoff=100, support_cutoff=10, binary=False, feature_values=None, verbose=False)[source]¶

Parameters:	binary – If true, then treat all feature/value pairs as individual binary features, rather than using a single n-way branch for each feature.