## 4 Results and Discussion
### Predictive Model Results
#### 4.2.1 Data Collection  
The first step involved identifying and collecting relevant data related to student dropouts. The proposed dataset diagram emphasized a range of influential factors, including student information, family background, and academic performance. A schematic representation of the dataset structure is provided in Figure 3.  
Based on the identified factors, a comprehensive dataset comprising 30 attributes was designed, combining educational, social, and economic variables that significantly influence student dropouts. These attributes were selected based on previous studies and supported by the findings from our survey. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Variables** & **Value** & **Count** & **\%** \\ \hline \multirow{3}{*}{Do you think you are competent enough to succeed in this field?} & Yes & 91 & 75.8\% \\ \cline{2-4}  & No & 5 & 4.2\% \\ \cline{2-4}  & I do not know & 24 & 20.0\% \\ \hline \multirow{3}{*}{In general, do you think the professors in this program will be beneficial to you?} & Yes & 88 & 73.3\% \\ \cline{2-4}  & No & 32 & 26.7\% \\ \hline \multirow{3}{*}{Do you feel well integrated into the university?} & Definitely no & 4 & 3.3\% \\ \cline{2-4}  & Somewhat no & 10 & 8.3\% \\ \cline{2-4}  & Somewhat yes & 68 & 56.7\% \\ \cline{2-4}  & Definitely yes & 38 & 31.7\% \\ \hline \multirow{3}{*}{Compared to high school, do you find the following aspects of university life destabilizing?} & Courses in the amphitheater & 17 & 14.2\% \\ \cline{2-4}  & Problem with the organization of the schedule & 24 & 20.0\% \\ \cline{1-1} \cline{2-4}  & Information quality & 37 & 30.8\% \\ \cline{1-1} \cline{2-4}  & None of these aspects destabilize me & 42 & 35.0\% \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Students’ feelings. The dataset includes essential information related to students, such as personal demographics, health conditions, insurance coverage, and details about university enrollment. For the family background component, data were obtained on parental occupation and income and the quality of family relationships. Finally, academic performance was indicated through students' exam scores and academic standing (see Table 8). The attributes of the dataset. \begin{table}
\begin{tabular}{c c} \hline \hline
**Attributes** & **Description** \\ \hline \hline Students’ Information \\ \hline Id\_s & Id\_s \\ \hline Y\_B & Year of birth \\ \hline Gender & Gender \\ \hline Place\_B & Place of birth \\ \hline Na & Nationality \\ \hline Health\_i\_c & Health insurance company \\ \hline Health\_pro & Health problem \\ \hline Uni\_f & University formation \\ \hline Reason & Reason to choose this university \\ \hline Enrolled & Enrolled in other institution \\ \hline Year & Year student entered the university \\ \hline \hline Family Background \\ \hline Residence & Student’s home address \\ \hline F\_status & Family status \\ \hline F\_a\_income & Family annual income \\ \hline Father\_edu & Father education \\ \hline Mother\_edu & Mother education \\ \hline Father\_occu & Father occupation \\ \hline Mother\_occu & Mother occupation \\ \hline F\_size & Family size \\ \hline F\_relationship & Family relationship \\ \hline \hline \multicolumn{2}{c}{Academic Performance} \\ \hline Na\_exam & Name of exam \\ \hline \hline \end{tabular}
\end{table} 
Table 8: The attributes of the dataset. Figure 3: Diagram of dataset. However, the development of a comprehensive dataset requires access to a diverse range of data sources. The protection of personal data is under Moroccan law n\({}^{\circ}\) 09-08 [21]. In this case, to obtain educational data, we needed to request permission from the Ministry of Higher Education, Scientific Research, and Innovation to access detailed academic records and institutional data. Furthermore, societal and economic data requires authorization from the Ministry of Economy and Finance to obtain data on family income, parental occupation, and economic background.