## Abbreviations
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Accuracy** & **RF** & **ANN** & **LR** & **SVM** & **LGBM** & **CB** & **XGB** \\ \hline RF & — & \(-0.754/(0.453)\) & **4.769/(0.000)** & \(-1.315/(0.192)\) & \(0.236/(0.814)\) & \(-1.542/(0.126)\) & \(-1.481/(0.142)\) \\ \hline ANN & \(0.754/(0.453)\) & — & **4.943/(0.000)** & \(-0.249/(0.804)\) & \(0.945/(0.347)\) & \(-0.769/(0.444)\) & \(-0.621/(0.536)\) \\ \hline LR & \(\mathbf{-4.769/(0.000)}\) & \(\mathbf{-4.943/(0.000)}\) & — & \(\mathbf{-5.264/(0.000)}\) & \(\mathbf{-4.250/(0.000)}\) & \(\mathbf{-5.661/(0.000)}\) & \(\mathbf{-5.581/(0.000)}\) \\ \hline SVM & \(1.315/(0.192)\) & \(0.249/(0.804)\) & \(\mathbf{5.264/(0.000)}\) & — & \(1.300/(0.197)\) & \(-0.598/(0.551)\) & \(-0.482/(0.631)\) \\ \hline LGBM & \(-0.236/(0.814)\) & \(-0.945/(0.347)\) & **4.250/(0.000)** & \(-1.300/(0.197)\) & — & \(-1.675/(0.097)\) & \(-1.547/(0.125)\) \\ \hline CB & \(1.542/(0.126)\) & \(0.769/(0.444)\) & **5.661/(0.000)** & \(0.598/(0.551)\) & \(1.675/(0.097)\) & — & \(0.141/(0.888)\) & — \\ \hline XGB & \(1.481/(0.142)\) & \(0.621/(0.536)\) & **5.581/(0.000)** & \(0.482/(0.631)\) & \(1.547/(0.125)\) & \(-0.141/(0.888)\) & — \\ \hline
**Precision** & **RF** & **ANN** & **LR** & **SVM** & **LGBM** & **CB** & **XGB** \\ \hline RF & — & \(-1.561/(0.122)\) & \(1.965/(0.052)\) & \(-0.267/(0.790)\) & \(-0.430/(0.668)\) & \(\mathbf{-2.370/(0.020)}\) & \(\mathbf{-2.243/(0.027)}\) \\ \hline ANN & \(1.561/(0.122)\) & — & \(\mathbf{2.878/(0.005)}\) & \(1.577/(0.118)\) & \(1.275/(0.205)\) & \(-0.439/(0.662)\) & \(-0.480/(0.632)\) \\ \hline LR & \(-1.965/(0.052)\) & \(\mathbf{-2.878/(0.005)}\) & — & \(-1.903/(0.060)\) & \(\mathbf{-2.122/(0.037)}\) & \(\mathbf{-3.591/(0.001)}\) & \(\mathbf{-3.364/(0.001)}\) \\ \hline SVM & \(0.267/(0.790)\) & \(-1.577/(0.118)\) & \(1.903/(0.060)\) & — & \(-0.254/(0.800)\) & \(\mathbf{-2.974/(0.004)}\) & \(\mathbf{-2.885/(0.005)}\) \\ \hline LGBM & \(0.430/(0.668)\) & \(-1.275/(0.205)\) & \(\mathbf{2.112/(0.037)}\) & \(0.254/(0.800)\) & — & \(\mathbf{-2.212/(0.029)}\) & \(\mathbf{-2.108/(0.037)}\) \\ \hline CB & \(\mathbf{2.370/(0.020)}\) & \(0.439/(0.662)\) & \(\mathbf{3.591/(0.001)}\) & \(\mathbf{2.974/(0.004)}\) & \(\mathbf{2.212/(0.029)}\) & \(\mathbf{-}\) & \(-0.260/(0.795)\) \\ \hline XGB & \(\mathbf{2.243/(0.027)}\) & \(0.480/(0.632)\) & \(\mathbf{3.364/(0.001)}\) & \(\mathbf{2.885/(0.005)}\) & \(\mathbf{2.108/(0.037)}\) & \(0.260/(0.795)\) & — \\ \hline
**Recall** & **RF** & **ANN** & **LR** & **SVM** & **LGBM** & **CB** & **XGB** \\ \hline RF & — & \(0.919/(0.360)\) & \(\mathbf{4.872/(0.000)}\) & \(-1.312/(0.192)\) & \(0.873/(0.385)\) & \(0.833/(0.407)\) & \(1.037/(0.302)\) \\ \hline ANN & \(-0.919/(0.360)\) & — & \(\mathbf{2.984/(0.004)}\) & \(-0.234/(0.045)\) & \(-0.303/(0.763)\) & \(-0.363/(0.717)\) & \(-0.112/(0.911)\) \\ \hline LR & \(\mathbf{-4.872/(0.000)}\) & \(\mathbf{-2.984/(0.004)}\) & \(\mathbf{-5.321/(0.000)}\) & \(\mathbf{-3.903/(0.000)}\) & \(\mathbf{-3.811/(0.000)}\) & \(\mathbf{-3.384/(0.001)}\) \\ \hline SVM & \(1.312/(0.192)\) & \(\mathbf{2.034/(0.045)}\) & \(5.321/(0.000)\) & — & \(\mathbf{2.017/(0.046)}\) & \(\mathbf{2.586/(0.011)}\) & \(\mathbf{2.620/(0.010)}\) \\ \hline LGBM & \(-0.873/(0.385)\) & \(0.303/(0.763)\) & \(3.903/(0.000)\) & \(-2.017/(0.046)\) & — & \(-0.001/(0.999)\) & \(0.246/(0.806)\) \\ \hline CB & \(-0.833/(0.407)\) & \(0.363/(0.717)\) & \(\mathbf{3.811/(0.000)}\) & \(-2.586/(0.011)\) & \(0.001/(0.999)\) & — & \(0.386/(0.700)\) \\ \hline XGB & \(-1.037/(0.302)\) & \(0.112/(0.911)\) & \(\mathbf{3.384/(0.001)}\) & \(-2.620/(0.010)\) & \(-0.246/(0.806)\) & \(-0.386/(0.700)\) & — \\ \hline \end{tabular}
\end{table} 
Table 5: Corrected resampled (100 estimates) paired \(t\)-test results across multiple metrics (T-score/\(p\)-value).