Ensemble Learning Framework for Anomaly Detection in Autonomous Driving Systems.

A notable trend is that while some models perform exceptionally well in binary classification, their performance drops in multiclass scenarios.

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The XGBoost classifier had a clear trend, where increasing the maximum depth parameter from 4 to 6 resulted in improved accuracy, precision, and F1-score, but a drop in recall.

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