## 5 Discussion  
The results of the feature selection process show that relevant predictors vary depending on the considered subset of students. Thus, a one-size-fit-all approach does not provide an answer to the question of what the key factors are to succeed in learning to \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Subset** & **Model** & **Acc** & **Sens** & **Spec** & **ROC** \\ \hline \multirow{4}{*}{All} & RF & 62.24\% & 60.84\% & 63.65\% & 66.98\% \\  & MLR & 67.60\% & 70.34\% & 64.84\% & 73.23\% \\ \cline{2-6}  & **SVM** & **67.21\%** & **63.21\%** & **72.24\%** & **73.08\%** \\  & XGB & 66.37\% & 64.36\% & 68.41\% & 72.21\% \\ \hline \multirow{4}{*}{6-year programmes} & RF & 66.29\% & 66.08\% & 66.51\% & 71.56\% \\  & MLR & 68.30\% & 72.24\% & 64.07\% & 73.56\% \\ \cline{2-6}  & **SVM** & **68.66\%** & 70.29\% & **66.90\%** & **73.72\%** \\ \cline{2-6}  & XGB & 67.24\% & 67.83\% & 66.61\% & 73.20\% \\ \hline \multirow{4}{*}{4-year programmes} & RF & 64.92\% & 57.53\% & 71.25\% & 69.43\% \\  & MLR & 66.79\% & 60.44\% & 72.22\% & 71.57\% \\ \cline{2-6}  & **SVM** & **67.50\%** & 62.00\% & 72.22\% & 71.43\% \\ \cline{2-6}  & XGB & 66.08\% & 56.16\% & 74.58\% & 70.27\% \\ \hline \multirow{4}{*}{Electricity} & RF & 71.66\% & 78.00\% & 65.33\% & 76.70\% \\  & MLR & 67.37\% & 72.15\% & 62.58\% & 73.52\% \\ \cline{2-6}  & SVM & **73.98\%** & 62.62\% & 85.34\% & **76.18\%** \\ \cline{2-6}  & XGB & 70.32\% & 77.28\% & 63.35\% & 71.22\% \\ \hline \multirow{4}{*}{Geography} & RF & 67.23\% & 64.13\% & 70.42\% & 71.61\% \\  & MLR & 66.35\% & 66.44\% & 66.39\% & 72.58\% \\ \cline{2-6}  & SVM & **68.60\%** & 61.06\% & **76.25\%** & **72.74\%** \\ \cline{2-6}  & XGB & 66.02\% & 53.17\% & 78.94\% & 71.44\% \\ \hline \multirow{4}{*}{Industry} & RF & 73.80\% & 69.65\% & 77.98\% & 83.25\% \\  & MLR & 64.39\% & 67.19\% & 61.63\% & 70.33\% \\  & SVM & **78.28\%** & 100.00\% & 56.57\% & **78.29\%** \\ \cline{2-6}  & XGB & 69.78\% & 64.74\% & 74.84\% & 74.04\% \\ \hline \multirow{4}{*}{Informatics} & RF & 82.32\% & 77.82\% & 86.78\% & 90.18\% \\  & MLR & 65.62\% & 67.31\% & 63.91\% & 75.01\% \\ \cline{2-6}  & SVM & 87.14\% & 98.11\% & 76.13\% & **88.33\%** \\ \cline{2-6}  & XGB & 80.74\% & 75.85\% & 85.61\% & 85.85\% \\ \hline \multirow{4}{*}{Mechanics} & RF & 75.05\% & 70.11\% & 80.00\% & **82.85\%** \\ \cline{2-6}  & MLR & 67.03\% & 70.68\% & 63.37\% & 75.01\% \\ \cline{2-6}  & SVM & 72.95\% & 74.74\% & 71.16\% & 77.84\% \\ \cline{2-6}  & XGB & 73.39\% & 68.11\% & 78.68\% & 79.21\% \\ \hline \multirow{4}{*}{Metallurgy} & RF & 66.15\% & 53.23\% & 76.57\% & 70.19\% \\  & MLR & 61.06\% & 44.23\% & 74.43\% & 63.65\% \\ \cline{2-6}  & SVM & 63.46\% & 41.57\% & 81.14\% & 66.10\% \\ \cline{2-6}  & XGB & **66.71\%** & 56.03\% & 75.14\% & 68.38\% \\ \hline \multirow{4}{*}{Mining} & RF & 73.27\% & 78.91\% & 67.69\% & **77.22\%** \\ \cline{2-6}  & MLR & 69.68\% & 71.23\% & 68.19\% & 76.70\% \\ \cline{2-6}  & SVM & 72.31\% & 65.58\% & 79.07\% & 71.76\% \\ \cline{2-6}  & XGB & 72.95\% & 68.19\% & 77.74\% & 75.68\% \\ \hline \multirow{4}{*}{Civil} & RF & 75.87\% & 79.68\% & 72.06\% & 82.89\% \\ \cline{2-6}  & MLR & 66.25\% & 64.66\% & 67.80\% & 71.22\% \\ \cline{2-6}  & SVM & **78.30\%** & 56.61\% & 100.00\% & 77.27\% \\ \cline{2-6}  & XGB & 70.82\% & 76.09\% & 65.62\% & 71.47\% \\ \hline \multirow{4}{*}{Chemistry} & RF & 71.50\% & 72.75\% & 70.16\% & 75.43\% \\ \cline{2-6}  & MLR & 71.33\% & 73.38\% & 69.12\% & 75.91\% \\ \cline{1-1} \cline{2-6}  & SVM & 73.64\% & 76.37\% & 70.67\% & 76.93\% \\ \cline{1-1} \cline{2-6}  & XGB & 74.84\% & **74.58\%** & 75.14\% & 77.21\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Model performances. Most accurate model for each subset highlighted in blue. program. When considering the entire set of students, only the first-semester GPA and the language admission test score appear as relevant predictors.