Student Performance Prediction

This dataset contains 9,254 student records with academic performance, attendance, study habits, LMS activity, learning resources, and demographic information. It can be used to identify factors influencing students' final scores and predict their academic performance.

Suitable for: Regression, Classification, Decision Tree, Random Forest, Feature Importance, and Clustering.
📚 Education Student Performance Analytics 📦 9,254 rows × 22 cols 💾 934 KB ⬇ 0 downloads

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Student_IDAgeGenderProgramSemesterAttendance_PercentPrevious_Semester_ScoreAssignment_ScoreQuiz_ScoreMidterm_ScoreStudy_Hours_Per_WeekLMS_Login_CountVideo_Lecture_HoursAssignment_Submission_RateParticipation_ScoreLibrary_VisitsInternet_AccessParental_EducationFinancial_AidPrevious_FailuresFinal_ScorePass_Fail
STU0000119FemaleBCA664.347.655.772.146.112.8449.285.761.74YesPostgraduateNo131.06Fail
STU0000219MaleMBA181.756.365.375.769.68.8174.972.870.08YesGraduateNo231.01Fail
STU0000321FemaleM.Sc869.166.287.448.472.911.84010.464.5100.04YesGraduateYes237.57Fail
STU0000421FemaleBBA550.971.065.9100.061.59.0225.2100.082.82YesHigh SchoolYes134.91Fail
STU0000518MaleMBA780.072.481.4100.069.39.2209.775.7100.07YesDiplomaNo042.19Pass
STU0000622FemaleM.Sc270.155.371.963.064.44.8165.383.150.31YesDiplomaNo135.0Fail
STU0000724MaleBCA357.852.792.657.466.78.8276.549.082.33YesDiplomaNo031.2Fail
STU0000820FemaleM.Sc175.187.686.664.085.63.782.359.183.43YesGraduateNo039.91Fail

Showing first 8 rows of 9,254.

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