TableĀ 5

Comparison classifiers results

ModelROC-AUCF1 (positive)Recall@Top 5%AccuracyBrier
LR0.750.720.740.9020.098
RF0.780.750.780.9060.094
XGBoost0.920.910.910.9010.148
CatBoost0.910.900.910.9020.153
LightGBM0.900.900.950.9000.145
GRU-RNN0.970.960.960.9210.095
1D-CNN0.980.960.970.9250.098

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