## Abbreviations
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Accuracy**} & \multicolumn{1}{c}{**RF**} & \multicolumn{1}{c}{**ANN**} & \multicolumn{1}{c}{**LR**} & \multicolumn{1}{c}{**SVM**} & \multicolumn{1}{c}{**LGBM**} & \multicolumn{1}{c}{**CB**} & \multicolumn{1}{c}{**XGB**} \\ \hline RF & — & \(-1.092/(0.275)\) & — & \(\mathbf{6.967/(0.000)}\) & \(-0.944/(0.345)\) & \(0.448/(0.655)\) & \(\mathbf{-4.783/(0.000)}\) & \(-1.502/(0.133)\) \\ \hline ANN & \(1.092/(0.275)\) & — & \(\mathbf{7.090/(0.000)}\) & \(0.509/(0.611)\) & \(1.689/(0.091)\) & \(-0.696/(0.486)\) & \(-0.001/(0.999)\) \\ \hline LR & \(\mathbf{-6.967/(0.000)}\) & — & \(\mathbf{-8.463/(0.000)}\) & \(\mathbf{-7.998/(0.000)}\) & \(\mathbf{-8.187/(0.000)}\) & \(\mathbf{-8.457/(0.000)}\) \\ \hline SVM & \(0.944/(0.345)\) & \(-0.509/(0.611)\) & \(\mathbf{8.463/(0.000)}\) & — & \(1.757/(0.079)\) & \(-2.202/(0.028)\) & \(-1.671/(0.095)\) \\ \hline LGBM & \(-0.448/(0.655)\) & \(-1.689/(0.091)\) & \(\mathbf{7.998/(0.000)}\) & \(-1.757/(0.079)\) & — & \(\mathbf{-5.500/(0.000)}\) & \(\mathbf{-2.202/(0.028)}\) \\ \hline CB & \(\mathbf{4.783/(0.000)}\) & \(0.696/(0.486)\) & \(\mathbf{8.187/(0.000)}\) & \(2.202/(0.028)\) & \(\mathbf{5.500/(0.000)}\) & — & \(1.046/(0.296)\) \\ \hline XGB & \(1.502/(0.133)\) & \(0.001/(0.999)\) & \(\mathbf{8.457/(0.000)}\) & \(1.671/(0.095)\) & \(\mathbf{2.202/(0.028)}\) & \(-1.046/(0.296)\) & — \\ \hline
**Precision** & **RF** & **ANN** & **LR** & **SVM** & **LGBM** & **CB** & **XGB** \\ \hline RF & — & \(-1.952/(0.051)\) & \(\mathbf{2.787/(0.005)}\) & \(0.459/(0.646)\) & \(-0.815/(0.415)\) & \(\mathbf{-4.461/(0.000)}\) & \(\mathbf{-2.797/(0.005)}\) \\ \hline ANN & \(1.952/(0.051)\) & — & \(\mathbf{4.338/(0.000)}\) & \(\mathbf{2.888/(0.004)}\) & \(\mathbf{2.020/(0.043)}\) & \(-0.405/(0.685)\) & \(-0.016/(0.987)\) \\ \hline LR & \(\mathbf{-2.787/(0.005)}\) & \(\mathbf{-4.338/(0.000)}\) & — & \(\mathbf{-3.070/(0.002)}\) & \(\mathbf{-3.658/(0.000)}\) & \(\mathbf{-4.779/(0.000)}\) & \(\mathbf{-5.121/(0.000)}\) \\ \hline SVM & \(-0.459/(0.646)\) & \(\mathbf{-2.888/(0.004)}\) & \(\mathbf{3.070/(0.002)}\) & — & \(-1.645/(0.100)\) & \(\mathbf{-7.177/(0.000)}\) & \(\mathbf{-4.080/(0.000)}\) \\ \hline LGBM & \(0.815/(0.415)\) & \(\mathbf{-2.020/(0.043)}\) & \(3.658/(0.000)\) & \(1.645/(0.100)\) & — & \(\mathbf{-6.103/(0.000)}\) & \(\mathbf{-3.851/(0.000)}\) \\ \hline CB & \(\mathbf{4.461/(0.000)}\) & \(0.405/(0.685)\) & \(\mathbf{4.779/(0.000)}\) & \(\mathbf{7.177/(0.000)}\) & \(\mathbf{6.103/(0.000)}\) & — & \(0.696/(0.487)\) \\ \hline XGB & \(\mathbf{2.797/(0.005)}\) & \(0.016/(0.987)\) & \(\mathbf{5.121/(0.000)}\) & \(\mathbf{4.080/(0.000)}\) & \(\mathbf{3.851/(0.000)}\) & \(\mathbf{-0.696/(0.487)}\) & — \\ \hline
**Recall** & **RF** & **ANN** & **LR** & **SVM** & **LGBM** & **CB** & **XGB** \\ \hline RF & — & \(1.279/(0.201)\) & \(\mathbf{14.062/(0.000)}\) & \(-1.614/(0.107)\) & \(\mathbf{2.842/(0.004)}\) & \(0.957/(0.339)\) & \(1.218/(0.223)\) \\ \hline ANN & \(-1.279/(0.201)\) & — & \(\mathbf{8.191/(0.000)}\) & \(\mathbf{-3.093/(0.002)}\) & \(-0.109/(0.913)\) & \(-0.455/(0.649)\) & \(0.002/(0.998)\) \\ \hline LR & \(\mathbf{-14.062/(0.000)}\) & \(\mathbf{-8.191/(0.000)}\) & — & \(\mathbf{-12.188/(0.000)}\) & \(\mathbf{-12.140/(0.000)}\) & \(\mathbf{-9.863/(0.000)}\) & \(\mathbf{-8.534/(0.000)}\) \\ \hline SVM & \(1.614/(0.107)\) & \(\mathbf{3.093/(0.002)}\) & \(\mathbf{12.188/(0.000)}\) & — & \(\mathbf{3.329/(0.001)}\) & \(\mathbf{3.398/(0.001)}\) & \(\mathbf{3.786/(0.000)}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Corrected pairwise 10-fold-CV paired \(t\)-test results across multiple metrics (T-score/\(p\)-value).