Classification on spambase (Accuracy, Log-Loss, ECE)
95.8AccuracyXGBoost
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| XGBoostBase Estimator=N/A, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=0.992026.06 | 95.8 | 0.1201 | 54.95 | |
| SCSBBase Estimator=DecisionTree, Active Est.=31, Comp. Ratio=69.0%, Latency / 1k (ms)=8.53 (3.4×)2026.06 | 94.57 | 0.2748 | 53.2 | |
| Lasso-Pruned BaggingBase Estimator=DecisionTree, Active Est.=96, Comp. Ratio=4.0%, Latency / 1k (ms)=20.362026.06 | 94.21 | 0.1859 | 53.21 | |
| Standard BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=28.732026.06 | 94.06 | 0.1839 | 52.9 | |
| SCSBBase Estimator=LogisticRegression, Active Est.=16, Comp. Ratio=68.0%, Latency / 1k (ms)=3.06 (5.7×)2026.06 | 93.85 | 0.1982 | 52.9 | |
| Lasso-Pruned BaggingBase Estimator=LogisticRegression, Active Est.=48, Comp. Ratio=4.0%, Latency / 1k (ms)=6.472026.06 | 93.34 | 0.2017 | 52.18 | |
| Standard BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=17.332026.06 | 93.27 | 0.2018 | 52.05 |