Table 6 Comparative performance analysis with baseline models (on NAB dataset).

From: PatternFusion: a hybrid model for pattern recognition in time-series data using ensemble learning

Model

F1-score

AUC-ROC

MCC

Cohen’s kappa

LSTM

0.911

0.956

0.843

0.819

CNN

0.918

0.961

0.849

0.826

Random Forest

0.902

0.942

0.831

0.804

XGBoost

0.926

0.963

0.857

0.838

PatternFusion (ours)

0.949

0.981

0.889

0.867

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