"DecisionTree" (Machine Learning Method)
- Method for Predict and Classify.
- Models class probabilities or predicts values, using a decision tree constructed using the CART algorithm.
Details & Suboptions
- A decision tree is a flow chart–like structure in which each internal node represents a "test" on a feature, each branch represents the outcome of the test, and each leaf represents a class or value distribution.
- The following options can be given:
"DistributionSmoothing" 1 regularization parameter "FeatureFraction" 1 the fraction of features to be randomly selected for training
Examplesopen allclose all
Basic Examples (2)
Look at the PredictorInformation: