Classification on Diabetes (Accuracy, Log-Loss, ECE)
74.46AccuracySCSB
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SCSBBase Estimator=LogisticRegression, Active Est.=10, Comp. Ratio=80.0%, Latency / 1k (ms)=7.41 (3.5×)2026.06 | 74.46 | 0.527 | 44.62 | |
| SCSBBase Estimator=DecisionTree, Active Est.=31, Comp. Ratio=69.0%, Latency / 1k (ms)=8.53 (2.6×)2026.06 | 73.16 | 0.5971 | 14.81 | |
| Standard BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=25.682026.06 | 73.16 | 0.5193 | 44.06 | |
| Lasso-Pruned BaggingBase Estimator=LogisticRegression, Active Est.=42, Comp. Ratio=16.0%, Latency / 1k (ms)=18.912026.06 | 73.16 | 0.5169 | 43.62 | |
| Standard BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=22.562026.06 | 72.73 | 0.5898 | 14.77 | |
| Lasso-Pruned BaggingBase Estimator=DecisionTree, Active Est.=90, Comp. Ratio=10.0%, Latency / 1k (ms)=18.912026.06 | 72.73 | 0.5786 | 14.15 | |
| XGBoostBase Estimator=N/A, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=16.602026.06 | 71.43 | 0.8153 | 55.62 |