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ResearchFormerly WizWand

Classification on segment (Accuracy, Log-Loss, ECE)

97.98AccuracyXGBoost
94.974495.754796.53597.3153Jun 11, 2026
Updated 4mo ago

Evaluation results

MethodLinks
XGBoostBase Estimator=N/A, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=2.812026.0697.980.07810.52
Standard BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=22.562026.0697.40.18892.35
Lasso-Pruned BaggingBase Estimator=DecisionTree, Active Est.=100, Comp. Ratio=0.0%, Latency / 1k (ms)=19.922026.0697.40.1872.33
SCSBBase Estimator=DecisionTree, Active Est.=26, Comp. Ratio=74.0%, Latency / 1k (ms)=7.15 (3.2×)2026.0695.530.32763.73
Standard BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=31.232026.0695.090.15481.9
Lasso-Pruned BaggingBase Estimator=LogisticRegression, Active Est.=50, Comp. Ratio=0.0%, Latency / 1k (ms)=19.122026.0695.090.15432.16
SCSBBase Estimator=LogisticRegression, Active Est.=13, Comp. Ratio=74.0%, Latency / 1k (ms)=7.02 (4.4×)2026.0695.090.15262.11