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ResearchFormerly WizWand

Sparse Feature Selection on Credit-card-fraud (test)

99.91F1 Scoreanova
99.878899.886999.89599.9031Jun 2, 2026
Updated 5mo ago

Evaluation results

MethodLinks
anovaMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.91
causal-skMethod Category=Causal-interventional, Evaluation Protocol=4-fold cross-validation2026.0699.91
all-featMethod Category=Full Features, Evaluation Protocol=4-fold cross-validation2026.0699.9
chi-sqMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.9
spearmanMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.9
pearsonMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.9
LRHMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.9
STMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.9
HITON-MBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.9
MMMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.9
IAMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.9
miMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.89
borutaMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.0699.89
causal-obsMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.0699.88