Relaxed pruning biases multi-label rule induction toward larger rule heads, producing more compact models with comparable predictive performance in experiments on seven datasets.
Evolving multi-label clas- sification rules with gene expression programming: A preliminary study
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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.