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Feature Selection (n=100, k=15)

62Diag.Greedy with pruning
2.7218.1133.548.89May 8, 2026

Evaluation results

MethodLinks
Greedy with pruningCost=0.082026.05625.63——0.58
Discrete GreedyCost=0.082026.0562—5.62—0.58
Greedy with pruningCost=0.252026.05514.14——0.44
Discrete GreedyCost=0.252026.0551—4.14—0.44
Greedy with pruningCost=0.402026.05342.88——0.2
Discrete GreedyCost=0.402026.0534—2.82—0.2
Greedy with pruningCost=0.602026.0551.32——-0.4
Discrete GreedyCost=0.602026.055—1.23—-0.4