Classification on segment (Accuracy, Log-Loss, ECE)
97.98AccuracyXGBoost
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| XGBoostBase Estimator=N/A, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=2.812026.06 | 97.98 | 0.0781 | 0.52 | |
| Standard BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=22.562026.06 | 97.4 | 0.1889 | 2.35 | |
| Lasso-Pruned BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=19.922026.06 | 97.4 | 0.187 | 2.33 | |
| SCSBBase Estimator=DecisionTree, Active Est.=26, Comp. Ratio=74.0%, Latency / 1k (ms)=7.15 (3.2×)2026.06 | 95.53 | 0.3276 | 3.73 | |
| Standard BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=31.232026.06 | 95.09 | 0.1548 | 1.9 | |
| Lasso-Pruned BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=19.122026.06 | 95.09 | 0.1543 | 2.16 | |
| SCSBBase Estimator=LogisticRegression, Active Est.=13, Comp. Ratio=74.0%, Latency / 1k (ms)=7.02 (4.4×)2026.06 | 95.09 | 0.1526 | 2.11 |