= Repeated incremental pruning to produce error reduction (RIPPER)
{wiki=Repeated_incremental_pruning_to_produce_error_reduction_(RIPPER)}
Repeated Incremental Pruning to Produce Error Reduction (RIPPER) is a decision tree learning algorithm used for generating classification rules. RIPPER is particularly known for its effectiveness in producing compact, accurate rules for classification tasks. Here are key aspects of the RIPPER algorithm: 1. **Rule-Based Learner**: Unlike traditional decision tree algorithms that produce a tree structure, RIPPER generates a set of rules for classification.
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