Decision Tree (Weight-Based)


Synopsis

Learns a pruned decision tree based on an arbitrary feature relevance test (attribute weighting scheme as inner operator).


Description

Learns a pruned decision tree based on arbitrary feature relevance measurements defined by an inner operator (use for example InfoGainRatioWeighting for C4.5 and ChiSquaredWeighting for CHAID. Works only for nominal attributes.


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ExampleProcess