Open access
Jun 2026
Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study.
These results validate FIG as a principled, interpretable diagnostic tool for algorithm selection in exact learning; its diagnostic relevance becomes apparent on harder instances where solver runtime separation is substantial.
Zhigao Huang, Miao Pan, Yuzhuo Pan et al.
· Scientific Reports · 0 citations