Concise and interpretable multi-label rule sets

Martino Ciaperoni, Han Xiao, Aristides Gionis

Multi-label classification is becoming increasingly ubiquitous, but not much attention has been paid to interpretability. In this paper, we develop a multi-label classifier that ca…