SA-FDR uses simulated annealing guided by the Fisher discriminant ratio to find compact feature subsets for logistic regression, often beating RFE and Lasso on sparsity with comparable AUC.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Optimised Feature Subset Selection via Simulated Annealing
SA-FDR uses simulated annealing guided by the Fisher discriminant ratio to find compact feature subsets for logistic regression, often beating RFE and Lasso on sparsity with comparable AUC.