Sparse Feature Selection on Churn-modelling (test)
78.98F1 Scoreboruta
Evaluation Results
| Method | Links | |
|---|---|---|
| borutaMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 78.98 | |
| causal-obsMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 78.98 | |
| causal-skMethod Category=Causal-interventional, Evaluation Protocol=4-fold cross-validation2026.06 | 78.98 | |
| miMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 77.71 | |
| all-featMethod Category=Full Features, Evaluation Protocol=4-fold cross-validation2026.06 | 74.18 | |
| chi-sqMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 74.18 | |
| spearmanMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 74.18 | |
| anovaMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 74.18 | |
| pearsonMethod Category=Non-causal, Evaluation Protocol=4-fold cross-validation2026.06 | 74.18 | |
| IAMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 73.5 | |
| LRHMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 71.58 | |
| STMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 71.58 | |
| HITON-MBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 71.58 | |
| MMMBMethod Category=Causal-observation, Evaluation Protocol=4-fold cross-validation2026.06 | 71.58 |