Predict Students’ Dropout and Academic Success
Description
1) Student outcome dataset — dataset/dataset.csv — 4,424 rows, 35 columns. (Primary evaluation set.) Target column: Target. Values: Dropout (1,421), Graduate (2,209), Enrolled (794). Parameters (all 35): Marital status, Application mode, Application order, Course, Daytime/evening attendance, Previous qualification, Nacionality, Mother's qualification, Father's qualification, Mother's occupation, Father's occupation, Displaced, Educational special needs, Debtor, Tuition fees up to date, Gender, Scholarship holder, Age at enrollment, International, Curricular units 1st sem (credited), Curricular units 1st sem (enrolled), Curricular units 1st sem (evaluations), Curricular units 1st sem (approved), Curricular units 1st sem (grade), Curricular units 1st sem (without evaluations), Curricular units 2nd sem (credited), Curricular units 2nd sem (enrolled), Curricular units 2nd sem (evaluations), Curricular units 2nd sem (approved), Curricular units 2nd sem (grade), Curricular units 2nd sem (without evaluations), Unemployment rate, Inflation rate, GDP, Target. Target definition: For binary at-risk modeling, At-Risk = 1 (Dropout), Not At-Risk = 0 (Graduate, Enrolled). For the three-class risk head, categories are Low Risk, Medium Risk, High Risk (mapped from model output and thresholding on Pr). 2) College student management dataset — dataset/college_student_management_data.csv — 1,545 rows, 15 columns. (Engagement and administrative tabular fields.) Target column: risk_level. Values: High (805), Medium (456), Low (284). Parameters (all 15): student_id, age, gender, major, GPA, course_load, avg_course_grade, attendance_rate, enrollment_status, lms_logins_past_month, avg_session_duration_minutes, assignment_submission_rate, forum_participation_count, video_completion_rate, risk_level. 3) Large-scale tabular dataset — dataset/test.csv — 999,997 rows, 21 columns. (Held-out / inference-scale features; no outcome label in schema.) Parameters (all 21): Age, Grade, Gender, Race, SES_Quartile, ParentalEducation, SchoolType, Locale, TestScore_Math, TestScore_Reading, TestScore_Science, GPA, AttendanceRate, StudyHours, InternetAccess, Extracurricular, PartTimeJob, ParentSupport, Romantic, FreeTime, GoOut.