Relaxed pruning biases multi-label rule induction toward larger rule heads, producing more compact models with comparable predictive performance in experiments on seven datasets.
An evolutionary multi label classification using associative rule mining for spatial preferences
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Efficient Discovery of Expressive Multi-label Rules using Relaxed Pruning
Relaxed pruning biases multi-label rule induction toward larger rule heads, producing more compact models with comparable predictive performance in experiments on seven datasets.