updated app.py

ResearchInformation3.csv

@@ -0,0 +1,494 @@
+Department,Gender,HSC,SSC,Income,Hometown,Computer,Preparation,Gaming,Attendance,Job,English,Extra,Semester,Last,Overall
+Business Administration,Male,4.17,4.84,"Low (Below 15,000)",Village,3,More than 3 Hours,0-1 Hour,80%-100%,No,3,Yes,6th,3.22,3.35
+Business Administration,Female,4.92,5,"Upper middle (30,000-50,000)",City,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,7th,3.467,3.467
+Business Administration,Male,5,4.83,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,4,Yes,3rd,4,3.72
+Business Administration,Male,4,4.5,"High (Above 50,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,4th,3.8,3.75
+Business Administration,Female,2.19,3.17,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,3,Yes,4th,3.94,3.94
+Computer Science and Engineering,Male,4.75,4.05,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,2nd,1,1
+Computer Science and Engineering,Male,4.42,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,2nd,1.06,1.06
+Computer Science and Engineering,Male,4.5,4.81,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,4,Yes,11th,2.95,1.25
+Computer Science and Engineering,Male,3.32,4.5,"Low (Below 15,000) ",City,4,0-1 Hour,More than 3 Hours,Below 40%,No,3,Yes,5th,1.42,1.44
+Computer Science and Engineering,Female,3.33,4.95,"Lower middle (15,000-30,000) ",City,3,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,2nd,1.5,1.5
+Computer Science and Engineering,Male,4.17,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,2nd,1.56,1.56
+Computer Science and Engineering,Male,3.58,4.56,"Upper middle (30,000-50,000)",Village,4,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,9th,1.57,1.57
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,Yes,8th,1.57,1.57
+Computer Science and Engineering,Male,4.5,4.75,"Upper middle (30,000-50,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,8th,1,1.6
+Computer Science and Engineering,Male,3.83,5,"Low (Below 15,000)",Village,2,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,2nd,1.62,1.62
+Computer Science and Engineering,Male,4.33,4.64,"Lower middle (15,000-30,000) ",City,5,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,2nd,1.69,1.69
+Computer Science and Engineering,Female,4.51,4.75,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,Yes,8th,1.83,1.71
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,2nd,1.69,1.72
+Computer Science and Engineering,Male,3.92,4.72,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,5th,1.33,1.75
+Computer Science and Engineering,Male,3.92,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,2,Yes,2nd,1.75,1.75
+Computer Science and Engineering,Male,4.08,5,"Low (Below 15,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,2nd,1.25,1.75
+Computer Science and Engineering,Male,3.67,4.86,"Lower middle (15,000-30,000)",City,2,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,3rd,1.79,1.8
+Computer Science and Engineering,Male,4,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,2nd,1.63,1.86
+Computer Science and Engineering,Male,3.75,4.73,"Upper middle (30,000-50,000)",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,2nd,1.88,1.88
+Computer Science and Engineering,Male,3.5,5,"Upper middle (30,000-50,000)",City,1,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,5th,1.89,1.89
+Computer Science and Engineering,Male,4.2,5,"Upper middle (30,000-50,000)",City,4,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,9th,1.45,1.9
+Computer Science and Engineering,Female,4.58,4.94,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,5th,1.33,1.9
+Computer Science and Engineering,Male,3,4.06,"Low (Below 15,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,1.92,1.92
+Computer Science and Engineering,Male,4.17,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,No,2nd,2.06,1.97
+Computer Science and Engineering,Male,4.42,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,0-1 Hour,60%-79%,No,2,No,11th,2.33,2
+Computer Science and Engineering,Male,4,4.78,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,4,Yes,8th,2.16,2
+Computer Science and Engineering,Male,4.5,4.75,"Low (Below 15,000) ",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,5th,1.5,2.02
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,2,No,8th,1.64,2.1
+Computer Science and Engineering,Male,3.5,4.78,"High (Above 50,000)",Village,2,0-1 Hour,More than 3 Hours,Below 40%,No,4,No,5th,1.33,2.1
+Computer Science and Engineering,Male,3.82,5,"Lower middle (15,000-30,000)",City,4,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,3rd,2.5,2.1
+Computer Science and Engineering,Male,4.5,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,Yes,4,No,10th,2.23,2.17
+Computer Science and Engineering,Female,4.58,3.96,"Upper middle (30,000-50,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,8th,2.11,2.17
+Computer Science and Engineering,Male,3.23,4.33,"Low (Below 15,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,3rd,2.17,2.17
+Computer Science and Engineering,Male,2.17,4.33,"Upper middle (30,000-50,000)",Village,1,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,3rd,2.08,2.17
+Computer Science and Engineering,Male,3.67,4.28,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,5th,1.94,2.2
+Computer Science and Engineering,Male,3.8,4.94,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,9th,2,2.22
+Computer Science and Engineering,Male,3.25,4.94,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,9th,2.25,2.25
+Computer Science and Engineering,Female,4.5,4.75,"High (Above 50,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,4,Yes,7th,2.25,2.25
+Computer Science and Engineering,Male,4,4.72,"Upper middle (30,000-50,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.25,2.25
+Computer Science and Engineering,Male,3.42,4.78,"Lower middle (15,000-30,000)",Village,2,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.25,2.25
+Computer Science and Engineering,Male,4,5,"High (Above 50,000)",Village,2,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,2.31,2.28
+Computer Science and Engineering,Male,3.33,4.19,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,9th,2.3,2.3
+Computer Science and Engineering,Male,4.25,4.38,"High (Above 50,000) ",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,4,Yes,7th,2.25,2.3
+Computer Science and Engineering,Male,3.75,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,3,No,2nd,2.31,2.31
+Computer Science and Engineering,Female,3.58,5,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.31,2.31
+Computer Science and Engineering,Male,4.25,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.31,2.31
+Computer Science and Engineering,Female,4.5,4.75,"Upper middle (30,000-50,000)",Village,1,More than 3 Hours,More than 3 Hours,60%-79%,No,3,No,5th,2.44,2.33
+Computer Science and Engineering,Female,3.83,4.94,"High (Above 50,000)",Village,1,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,5th,2.33,2.33
+Computer Science and Engineering,Male,3.08,4.22,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,3rd,2.33,2.33
+Computer Science and Engineering,Male,3.67,4.91,"Upper middle (30,000-50,000)",City,2,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,3rd,2.33,2.33
+Computer Science and Engineering,Male,5,4.75,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,Yes,4,No,9th,2.39,2.35
+Computer Science and Engineering,Male,4.56,4.82,"Lower middle (15,000-30,000)",Village,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,Yes,8th,2.35,2.35
+Computer Science and Engineering,Male,5,4.72,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,5,Yes,6th,2.35,2.35
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.38,2.38
+Computer Science and Engineering,Male,4.42,4.32,"Upper middle (30,000-50,000)",Village,2,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.38,2.38
+Computer Science and Engineering,Female,3.42,4.14,"High (Above 50,000)",City,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.38,2.38
+Computer Science and Engineering,Female,4,5,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.38,2.38
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,2,No,10th,2.41,2.41
+Computer Science and Engineering,Male,4.17,4.82,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.44,2.44
+Computer Science and Engineering,Male,4,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,3,No,2nd,2.44,2.44
+Computer Science and Engineering,Male,4.86,5,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,80%-100%,Yes,3,No,11th,2.35,2.45
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,3,No,3rd,2.25,2.45
+Computer Science and Engineering,Male,3.63,4.91,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,3rd,2.58,2.47
+Computer Science and Engineering,Male,2.25,4.28,"Low (Below 15,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,Yes,5,Yes,11th,3,2.5
+Computer Science and Engineering,Male,2.92,4.75,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,Yes,4,No,8th,2.73,2.5
+Computer Science and Engineering,Male,4.33,5,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.5,2.5
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,10th,2.83,2.53
+Computer Science and Engineering,Male,5,4.78,"High (Above 50,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,3,Yes,4th,2.24,2.55
+Computer Science and Engineering,Female,3.16,4.19,"Upper middle (30,000-50,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,Yes,4,No,5th,2.75,2.55
+Computer Science and Engineering,Male,4.67,5,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.56,2.56
+Computer Science and Engineering,Male,3.67,4.82,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.56,2.56
+Computer Science and Engineering,Male,3.75,4.11,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.56,2.56
+Computer Science and Engineering,Male,4.5,3.61,"Low (Below 15,000)",Village,4,More than 3 Hours,More than 3 Hours,80%-100%,No,4,Yes,2nd,3,2.58
+Computer Science and Engineering,Male,2.94,4.39,"High (Above 50,000) ",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.64,2.64
+Computer Science and Engineering,Male,3.59,5,"Low (Below 15,000)",Village,2,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.69,2.69
+Computer Science and Engineering,Male,3,4.33,"High (Above 50,000)",Village,1,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.69,2.69
+Computer Science and Engineering,Male,3.67,5,"Lower middle (15,000-30,000) ",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.69,2.69
+Computer Science and Engineering,Male,4.08,5,"High (Above 50,000) ",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,2nd,2.69,2.69
+Computer Science and Engineering,Male,4.33,5,"Low (Below 15,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.88,2.7
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,60%-79%,Yes,4,No,9th,2.83,2.7
+Computer Science and Engineering,Male,3.92,5,"Upper middle (30,000-50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,3rd,2.83,2.7
+Computer Science and Engineering,Female,5,5,"Lower middle (15,000-30,000)",Village,3,More than 3 Hours,More than 3 Hours,80%-100%,Yes,3,Yes,4th,2.41,2.75
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,80%-100%,Yes,3,Yes,4th,2.35,2.75
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,80%-100%,No,3,Yes,10th,2.89,2.75
+Computer Science and Engineering,Male,4.3,4.75,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.88,2.75
+Computer Science and Engineering,Female,4,5,"High (Above 50,000) ",City,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.75,2.75
+Computer Science and Engineering,Male,4,4.13,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.82,2.75
+Computer Science and Engineering,Male,4.95,5,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.88,2.75
+Computer Science and Engineering,Male,4.44,4.38,"Upper middle (30,000-50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,9th,2.81,2.75
+Computer Science and Engineering,Male,3.75,5,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,8th,2.84,2.75
+Computer Science and Engineering,Male,3.58,4.61,"Low (Below 15,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,8th,2.81,2.75
+Computer Science and Engineering,Female,4,4.89,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,8th,2.79,2.75
+Computer Science and Engineering,Female,4.67,5,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,8th,2.83,2.75
+Computer Science and Engineering,Female,4.5,4.5,"Upper middle (30,000-50,000)",City,1,0-1 Hour,More than 3 Hours,60%-79%,Yes,4,No,8th,2.76,2.75
+Computer Science and Engineering,Male,4.25,4.94,"Low (Below 15,000) ",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,8th,2.84,2.75
+Computer Science and Engineering,Male,4,4.5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,7th,2.75,2.75
+Computer Science and Engineering,Female,3.25,4.17,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,6th,2.88,2.75
+Computer Science and Engineering,Male,2.67,4.11,"Upper middle (30,000-50,000)",Village,5,0-1 Hour,More than 3 Hours,60%-79%,Yes,4,No,6th,2.75,2.75
+Computer Science and Engineering,Male,4.42,4.44,"Lower middle (15,000-30,000)  ",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,6th,2.8,2.75
+Computer Science and Engineering,Male,4.75,5,"Low (Below 15,000) ",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,5th,2.88,2.75
+Computer Science and Engineering,Male,3.75,4.78,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,5th,2.75,2.75
+Computer Science and Engineering,Male,3.5,5,"High (Above 50,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,5th,2.77,2.75
+Computer Science and Engineering,Female,3.33,4.59,"High (Above 50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,3rd,2.75,2.75
+Computer Science and Engineering,Male,4,4.89,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,3rd,2.75,2.75
+Computer Science and Engineering,Male,3.67,4.77,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,3rd,2.83,2.75
+Computer Science and Engineering,Male,4.25,5,"Upper middle (30,000-50,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.75,2.75
+Computer Science and Engineering,Female,4.17,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.75,2.75
+Computer Science and Engineering,Female,3.67,4.73,"Lower middle (15,000-30,000)",City,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.75,2.75
+Computer Science and Engineering,Female,4.08,5,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.75,2.75
+Computer Science and Engineering,Male,4.5,5,"Upper middle (30,000-50,000)",City,1,0-1 Hour,0-1 Hour,60%-79%,No,1,No,11th,2.27,2.79
+Computer Science and Engineering,Male,3.5,4.83,"Lower middle (15,000-30,000)",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,2nd,2.81,2.81
+Computer Science and Engineering,Male,3.25,4.36,"Low (Below 15,000)",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,2nd,2.81,2.81
+Computer Science and Engineering,Female,3.34,4.69,"Lower middle (15,000-30,000) ",Village,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,10th,2.96,2.84
+Computer Science and Engineering,Female,4.08,5,"Upper middle (30,000-50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,9th,2.99,2.84
+Computer Science and Engineering,Male,4.08,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,6th,2.94,2.84
+Computer Science and Engineering,Male,3.42,4.33,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,6th,2.94,2.84
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,3,More than 3 Hours,More than 3 Hours,60%-79%,No,2,No,8th,1.52,2.846
+Computer Science and Engineering,Female,4.42,4.23,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.86,2.86
+Computer Science and Engineering,Female,3.5,4.73,"Lower middle (15,000-30,000)",City,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.88,2.88
+Computer Science and Engineering,Male,3.58,4.68,"Lower middle (15,000-30,000)",City,1,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.88,2.88
+Computer Science and Engineering,Male,4.67,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,3,No,2nd,2.88,2.88
+Computer Science and Engineering,Male,4.57,4.95,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,3,No,2nd,2.88,2.88
+Computer Science and Engineering,Female,4.17,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.88,2.88
+Computer Science and Engineering,Female,3.75,4.69,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,2.89,2.89
+Computer Science and Engineering,Male,4.25,5,"Upper middle (30,000-50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,9th,2.91,2.89
+Computer Science and Engineering,Female,4.17,4.61,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,3,No,8th,2.89,2.89
+Computer Science and Engineering,Female,4.67,5,"Lower middle (15,000-30,000)",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,8th,2.93,2.89
+Computer Science and Engineering,Female,3.83,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,3,No,8th,2.89,2.89
+Computer Science and Engineering,Male,4.08,4.78,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,7th,2.92,2.89
+Computer Science and Engineering,Male,3.58,4.88,"High (Above 50,000)",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,7th,2.92,2.89
+Computer Science and Engineering,Male,4,4.7,"Low (Below 15,000)",Village,1,0-1 Hour,2-3 Hours,60%-79%,No,3,Yes,11th,2.46,2.9
+Computer Science and Engineering,Male,4.58,4,"High (Above 50,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,10th,2.66,2.9
+Computer Science and Engineering,Male,4.1,3.75,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,9th,2.57,2.9
+Computer Science and Engineering,Male,3.33,4.61,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,9th,2.44,2.9
+Computer Science and Engineering,Male,3.67,3.06,"High (Above 50,000)",Village,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,Yes,8th,2.55,2.9
+Computer Science and Engineering,Male,4.17,4.61,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,8th,2.64,2.9
+Computer Science and Engineering,Female,3.83,5,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,8th,2.6,2.9
+Computer Science and Engineering,Male,4.67,4.75,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,7th,2.6,2.9
+Computer Science and Engineering,Male,4.5,4.28,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,7th,2.6,2.9
+Computer Science and Engineering,Male,4.33,5,"High (Above 50,000)",City,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.5,2.9
+Computer Science and Engineering,Male,3.17,4.67,"High (Above 50,000)  ",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.41,2.9
+Computer Science and Engineering,Female,4.5,4.56,"Upper middle (30,000-50,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.5,2.9
+Computer Science and Engineering,Female,3.76,4,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.56,2.9
+Computer Science and Engineering,Male,2.59,4.88,"High (Above 50,000) ",City,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.55,2.9
+Computer Science and Engineering,Male,3.33,3.78,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,6th,2.69,2.9
+Computer Science and Engineering,Female,4.5,5,"Lower middle (15,000-30,000)",Village,5,0-1 Hour,More than 3 Hours,40%-59%,No,4,Yes,5th,2.67,2.9
+Computer Science and Engineering,Male,4.17,4.61,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,5th,2.5,2.9
+Computer Science and Engineering,Female,4.42,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,40%-59%,No,3,No,3rd,2.67,2.9
+Computer Science and Engineering,Male,3.85,5,"Lower middle (15,000-30,000)",City,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,3rd,2.42,2.9
+Computer Science and Engineering,Male,3.92,5,"High (Above 50,000)",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.92,2.92
+Computer Science and Engineering,Female,4,5,"High (Above 50,000) ",Village,4,0-1 Hour,More than 3 Hours,40%-59%,No,4,No,10th,2.42,2.94
+Computer Science and Engineering,Male,3.33,4.89,"Low (Below 15,000)",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.94,2.94
+Computer Science and Engineering,Male,3.92,4.73,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.94,2.94
+Computer Science and Engineering,Female,3.42,4.68,"High (Above 50,000)  ",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,2.94,2.94
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,4,Yes,8th,2.48,2.98
+Computer Science and Engineering,Female,4.5,5,"High (Above 50,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,11th,3.45,3
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,4,No,2nd,3,3
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",City,3,0-1 Hour,0-1 Hour,60%-79%,No,4,Yes,4th,2.45,3
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,4th,3.22,3
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,4,No,10th,3.17,3
+Computer Science and Engineering,Male,3.08,4.68,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,3,3
+Computer Science and Engineering,Female,3.92,5,"High (Above 50,000) ",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,3,3
+Computer Science and Engineering,Male,3.67,4.68,"High (Above 50,000) ",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,3,3
+Computer Science and Engineering,Female,3.92,5,"Upper middle (30,000-50,000)",City,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,3,3
+Computer Science and Engineering,Female,3.53,5,"Lower middle (15,000-30,000) ",City,2,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,2nd,3,3
+Computer Science and Engineering,Male,3.83,4.73,"High (Above 50,000) ",Village,3,2-3 Hours,More than 3 Hours,40%-59%,No,5,Yes,2nd,3.06,3.06
+Computer Science and Engineering,Female,2.93,4.71,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,More than 3 Hours,40%-59%,No,3,Yes,2nd,3.06,3.06
+Computer Science and Engineering,Male,3.5,5,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,40%-59%,No,3,Yes,2nd,3.06,3.06
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,4th,2.94,3.07
+Computer Science and Engineering,Male,4,4.92,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,80%-100%,No,3,Yes,11th,3,3.08
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",Village,4,2-3 Hours,2-3 Hours,60%-79%,No,4,No,10th,3.29,3.08
+Computer Science and Engineering,Male,3.6,4.94,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,2-3 Hours,60%-79%,No,4,No,10th,3.25,3.08
+Computer Science and Engineering,Male,3.83,4.75,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,9th,3.25,3.08
+Computer Science and Engineering,Female,3.51,3.19,"Low (Below 15,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,9th,3.25,3.08
+Computer Science and Engineering,Male,4.44,5,"Upper middle (30,000-50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,Yes,2,No,8th,3.25,3.08
+Computer Science and Engineering,Female,3.92,5,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,8th,3.28,3.08
+Computer Science and Engineering,Male,4.5,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,8th,3.3,3.08
+Computer Science and Engineering,Male,4.5,5,"High (Above 50,000)",City,1,2-3 Hours,2-3 Hours,60%-79%,Yes,2,No,8th,3.26,3.08
+Computer Science and Engineering,Male,3.42,4,"Low (Below 15,000) ",Village,4,2-3 Hours,2-3 Hours,60%-79%,Yes,2,No,6th,3.3,3.08
+Computer Science and Engineering,Female,3.86,5,"High (Above 50,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,6th,3.25,3.08
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,3rd,3.25,3.08
+Computer Science and Engineering,Male,4.08,5,"Low (Below 15,000)",Village,1,2-3 Hours,2-3 Hours,80%-100%,No,3,Yes,10th,2.73,3.09
+Computer Science and Engineering,Male,4,4.33,"Low (Below 15,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,1,No,7th,2.69,3.1
+Computer Science and Engineering,Male,4.83,5,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,3,No,7th,2.83,3.1
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,3,More than 3 Hours,0-1 Hour,80%-100%,No,3,Yes,4th,3.11,3.11
+Computer Science and Engineering,Male,3.42,4.63,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.13,3.13
+Computer Science and Engineering,Male,4.33,4.68,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,2nd,3.13,3.13
+Computer Science and Engineering,Female,4,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,2nd,3.13,3.13
+Computer Science and Engineering,Male,3.08,4.06,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,2nd,3.13,3.13
+Computer Science and Engineering,Male,3.92,5,"Low (Below 15,000)",Village,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,9th,3.34,3.15
+Computer Science and Engineering,Male,4.44,5,"Low (Below 15,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,4,No,9th,3.3,3.15
+Computer Science and Engineering,Female,3.92,5,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,8th,3.34,3.15
+Computer Science and Engineering,Male,3.42,4.17,"High (Above 50,000) ",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,7th,3.33,3.15
+Computer Science and Engineering,Female,4.58,5,"High (Above 50,000) ",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,7th,3.33,3.15
+Computer Science and Engineering,Female,3.83,5,"High (Above 50,000) ",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,7th,3.33,3.15
+Computer Science and Engineering,Female,4.5,5,"Upper middle (30,000-50,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,5th,3.3,3.15
+Computer Science and Engineering,Male,4.75,5,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,2nd,3.16,3.16
+Computer Science and Engineering,Male,4.19,4.36,"Lower middle (15,000-30,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.19,3.19
+Computer Science and Engineering,Male,3.5,4.73,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,2nd,3.19,3.19
+Computer Science and Engineering,Male,3.38,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.19,3.19
+Computer Science and Engineering,Male,4,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,More than 3 Hours,60%-79%,Yes,4,No,2nd,3.19,3.19
+Computer Science and Engineering,Male,3.8,4.56,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.21,3.21
+Computer Science and Engineering,Male,4,4.88,"Upper middle (30,000-50,000)",Village,3,More than 3 Hours,More than 3 Hours,80%-100%,No,3,No,8th,3.27,3.22
+Computer Science and Engineering,Male,4.2,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,80%-100%,Yes,4,Yes,11th,3.02,3.25
+Computer Science and Engineering,Male,3.67,5,"Low (Below 15,000)",City,5,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,10th,3.09,3.25
+Computer Science and Engineering,Male,3.5,4.88,"Low (Below 15,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,10th,3.1,3.25
+Computer Science and Engineering,Male,3.5,4.56,"Low (Below 15,000)",Village,3,0-1 Hour,More than 3 Hours,60%-79%,No,5,Yes,10th,3.01,3.25
+Computer Science and Engineering,Male,4,4.88,"Upper middle (30,000-50,000)",City,5,2-3 Hours,More than 3 Hours,40%-59%,Yes,4,No,8th,3.08,3.25
+Computer Science and Engineering,Male,3.93,5,"Lower middle (15,000-30,000)",City,2,2-3 Hours,More than 3 Hours,40%-59%,No,5,Yes,8th,3.04,3.25
+Computer Science and Engineering,Male,4.08,5,"Lower middle (15,000-30,000)",City,4,2-3 Hours,More than 3 Hours,40%-59%,No,4,No,8th,3.04,3.25
+Computer Science and Engineering,Male,4.33,4.81,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,8th,3.22,3.25
+Computer Science and Engineering,Male,4.25,5,"Lower middle (15,000-30,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.11,3.25
+Computer Science and Engineering,Male,4.1,5,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,8th,3.1,3.25
+Computer Science and Engineering,Female,3.87,4.94,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,40%-59%,No,5,Yes,7th,3.08,3.25
+Computer Science and Engineering,Female,4.58,5,"Upper middle (30,000-50,000)",City,4,2-3 Hours,More than 3 Hours,40%-59%,No,4,No,6th,3.04,3.25
+Computer Science and Engineering,Male,3.83,5,"High (Above 50,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,5th,3,3.25
+Computer Science and Engineering,Male,4.5,4.28,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,40%-59%,No,3,Yes,5th,3.05,3.25
+Computer Science and Engineering,Female,4,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,More than 3 Hours,40%-59%,No,5,Yes,5th,3.08,3.25
+Computer Science and Engineering,Female,4,5,"Low (Below 15,000) ",Village,1,2-3 Hours,More than 3 Hours,40%-59%,No,5,Yes,5th,3.08,3.25
+Computer Science and Engineering,Female,3.83,5,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,More than 3 Hours,40%-59%,No,4,No,3rd,3.06,3.25
+Computer Science and Engineering,Male,3.67,5,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,3rd,3,3.25
+Computer Science and Engineering,Female,3.92,4.18,"Upper middle (30,000-50,000)",City,5,2-3 Hours,More than 3 Hours,40%-59%,No,3,Yes,3rd,3.08,3.25
+Computer Science and Engineering,Male,3.5,4.81,"Low (Below 15,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,3.07,4.85,"Low (Below 15,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,4.08,5,"Low (Below 15,000)",Village,2,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,3.83,5,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,3.58,4.83,"High (Above 50,000)",Village,2,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,4.25,5,"Low (Below 15,000) ",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,2nd,3.25,3.25
+Computer Science and Engineering,Male,4.42,4.86,"Lower middle (15,000-30,000)",City,2,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.25,3.25
+Computer Science and Engineering,Male,4.5,4.86,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.25,3.25
+Computer Science and Engineering,Female,3.75,4.59,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,2nd,3.25,3.25
+Computer Science and Engineering,Female,4.5,4.75,"Upper middle (30,000-50,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.11,3.26
+Computer Science and Engineering,Male,5,4.67,"Low (Below 15,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,3,Yes,3rd,3.27,3.27
+Computer Science and Engineering,Male,4,5,"Upper middle (30,000-50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,10th,3.47,3.27
+Computer Science and Engineering,Male,4.3,5,"Upper middle (30,000-50,000)",City,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,10th,3.44,3.27
+Computer Science and Engineering,Male,4.25,5,"High (Above 50,000) ",City,3,2-3 Hours,2-3 Hours,60%-79%,Yes,2,No,9th,3.43,3.27
+Computer Science and Engineering,Male,4.25,4.61,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,8th,3.48,3.27
+Computer Science and Engineering,Female,4.25,5,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,8th,3.43,3.27
+Computer Science and Engineering,Female,3.14,4.63,"High (Above 50,000) ",Village,2,2-3 Hours,2-3 Hours,60%-79%,No,4,No,7th,3.47,3.27
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,3,No,10th,3.33,3.28
+Computer Science and Engineering,Male,3.67,4.78,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.3,3.3
+Computer Science and Engineering,Male,3.83,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,2nd,3.3,3.3
+Computer Science and Engineering,Male,4.58,5,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.31,3.31
+Computer Science and Engineering,Female,4.75,5,"High (Above 50,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.31,3.31
+Computer Science and Engineering,Female,4.17,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.31,3.31
+Computer Science and Engineering,Female,3.67,4.56,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.31,3.31
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,3,Yes,8th,3.32,3.32
+Computer Science and Engineering,Male,4.08,4.17,"High (Above 50,000) ",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.32,3.32
+Computer Science and Engineering,Male,4.01,4.33,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,80%-100%,Yes,2,Yes,4th,2.71,3.33
+Computer Science and Engineering,Female,4,4.38,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,9th,3.41,3.33
+Computer Science and Engineering,Female,3.58,4.44,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,8th,3.35,3.33
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.55,3.33
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,60%-79%,No,3,No,8th,2.86,3.33
+Computer Science and Engineering,Male,4.33,5,"Upper middle (30,000-50,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,8th,3.4,3.33
+Computer Science and Engineering,Female,3.83,4.89,"High (Above 50,000) ",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,7th,3.42,3.33
+Computer Science and Engineering,Male,3.5,4.61,"Lower middle (15,000-30,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,6th,3.38,3.33
+Computer Science and Engineering,Male,4,4.89,"High (Above 50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,5th,3.4,3.33
+Computer Science and Engineering,Male,4.25,4.94,"Lower middle (15,000-30,000)",City,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,5th,3.42,3.33
+Computer Science and Engineering,Female,5,5,"Low (Below 15,000) ",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,5th,3.42,3.33
+Computer Science and Engineering,Male,4.17,4.89,"Upper middle (30,000-50,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,3rd,3.42,3.33
+Computer Science and Engineering,Male,4.17,4.95,"High (Above 50,000)",Village,2,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.35,3.35
+Computer Science and Engineering,Male,4.5,4.75,"Upper middle (30,000-50,000)",Village,3,More than 3 Hours,More than 3 Hours,80%-100%,No,3,No,8th,3.14,3.37
+Computer Science and Engineering,Female,4.08,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.38,3.38
+Computer Science and Engineering,Male,3.75,4.95,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.38,3.38
+Computer Science and Engineering,Male,4.42,4.89,"High (Above 50,000) ",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.38,3.38
+Computer Science and Engineering,Male,4.75,4.09,"Lower middle (15,000-30,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.38,3.38
+Computer Science and Engineering,Male,4.25,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.38,3.38
+Computer Science and Engineering,Female,3.58,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,2nd,3.38,3.38
+Computer Science and Engineering,Female,4.17,4.83,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.38,3.38
+Computer Science and Engineering,Male,3.42,4.68,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,2-3 Hours,60%-79%,No,2,Yes,2nd,3.38,3.38
+Computer Science and Engineering,Male,3.67,4.89,"Low (Below 15,000)",Village,3,0-1 Hour,0-1 Hour,80%-100%,Yes,4,Yes,10th,3.3,3.39
+Computer Science and Engineering,Male,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,80%-100%,No,4,Yes,7th,3.83,3.39
+Computer Science and Engineering,Female,4.5,4.75,"Upper middle (30,000-50,000)",Village,3,More than 3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.27,3.43
+Computer Science and Engineering,Female,4.83,5,"High (Above 50,000)",City,2,2-3 Hours,2-3 Hours,80%-100%,No,4,No,11th,3.56,3.44
+Computer Science and Engineering,Male,4.33,5,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,10th,3.6,3.44
+Computer Science and Engineering,Male,4.33,5,"High (Above 50,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,8th,3.59,3.44
+Computer Science and Engineering,Female,4.55,5,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.44,3.44
+Computer Science and Engineering,Male,4.25,4.89,"Low (Below 15,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.44,3.44
+Computer Science and Engineering,Male,3.92,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.44,3.44
+Computer Science and Engineering,Female,4.75,5,"Upper middle (30,000-50,000)",Village,1,0-1 Hour,More than 3 Hours,60%-79%,No,1,No,11th,3.52,3.45
+Computer Science and Engineering,Male,4.5,4.75,"Upper middle (30,000-50,000)",Village,1,More than 3 Hours,More than 3 Hours,60%-79%,No,4,No,3rd,2.92,3.46
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,4,Yes,2nd,3.48,3.48
+Computer Science and Engineering,Male,3.5,4.8,"High (Above 50,000)",City,5,0-1 Hour,More than 3 Hours,40%-59%,No,5,Yes,11th,3.02,3.5
+Computer Science and Engineering,Female,5,5,"Lower middle (15,000-30,000)",City,4,2-3 Hours,More than 3 Hours,80%-100%,Yes,5,Yes,4th,2.07,3.5
+Computer Science and Engineering,Male,4.53,4.75,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,80%-100%,No,4,Yes,10th,3,3.5
+Computer Science and Engineering,Male,4.42,4.88,"Low (Below 15,000)",Village,4,0-1 Hour,2-3 Hours,80%-100%,No,3,No,10th,3.76,3.5
+Computer Science and Engineering,Male,4.58,5,"High (Above 50,000)",Village,4,0-1 Hour,2-3 Hours,80%-100%,No,4,No,9th,3.7,3.5
+Computer Science and Engineering,Female,3.5,4.81,"Lower middle (15,000-30,000)",Village,4,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,9th,3.8,3.5
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,8th,4,3.5
+Computer Science and Engineering,Male,4.58,5,"Lower middle (15,000-30,000)",City,1,0-1 Hour,2-3 Hours,80%-100%,No,5,Yes,8th,3.78,3.5
+Computer Science and Engineering,Female,4.83,5,"High (Above 50,000)",City,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,7th,3.83,3.5
+Computer Science and Engineering,Female,4.33,5,"High (Above 50,000) ",City,3,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,7th,3.81,3.5
+Computer Science and Engineering,Female,4.25,5,"Upper middle (30,000-50,000)",Village,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,6th,3.81,3.5
+Computer Science and Engineering,Male,4.33,5,"Low (Below 15,000) ",Village,4,0-1 Hour,2-3 Hours,80%-100%,No,4,No,6th,3.75,3.5
+Computer Science and Engineering,Male,3.75,4.67,"Upper middle (30,000-50,000)",Village,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,5th,3.83,3.5
+Computer Science and Engineering,Male,4.58,5,"High (Above 50,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,5th,3.75,3.5
+Computer Science and Engineering,Female,3.67,4.61,"High (Above 50,000)",City,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Female,3.75,4.78,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Male,4.17,4.94,"Low (Below 15,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Male,4,5,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,4,No,2nd,3.5,3.5
+Computer Science and Engineering,Male,3.75,4.61,"Low (Below 15,000) ",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Male,4.08,5,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Female,4.33,4.94,"Lower middle (15,000-30,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,2nd,3.5,3.5
+Computer Science and Engineering,Male,4.57,5,"Lower middle (15,000-30,000)",Village,5,0-1 Hour,0-1 Hour,80%-100%,No,5,No,11th,3.92,3.54
+Computer Science and Engineering,Female,4.5,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,5,No,10th,3.42,3.55
+Computer Science and Engineering,Male,4.52,4.75,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,More than 3 Hours,80%-100%,No,3,No,10th,3.42,3.55
+Computer Science and Engineering,Male,3.58,5,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,9th,3.57,3.56
+Computer Science and Engineering,Female,4.17,5,"Upper middle (30,000-50,000) ",Village,4,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Female,4.25,5,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Male,4.33,5,"High (Above 50,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Female,3.83,4.59,"Lower middle (15,000-30,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Male,4.17,4.59,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,2nd,3.56,3.56
+Computer Science and Engineering,Female,4.17,5,"Low (Below 15,000) ",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Male,4,5,"High (Above 50,000)",Village,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Female,4,5,"High (Above 50,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Female,4.42,5,"High (Above 50,000) ",City,4,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,2nd,3.56,3.56
+Computer Science and Engineering,Male,3.92,4.18,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.56,3.56
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,1,0-1 Hour,More than 3 Hours,80%-100%,No,1,No,4th,3.64,3.6
+Computer Science and Engineering,Female,3.83,5,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,10th,3.61,3.6
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,10th,3.62,3.6
+Computer Science and Engineering,Male,3.92,3.94,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,9th,3.64,3.6
+Computer Science and Engineering,Male,3.67,4.44,"High (Above 50,000) ",Village,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,6th,3.63,3.6
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",City,4,More than 3 Hours,2-3 Hours,80%-100%,Yes,5,Yes,4th,3.66,3.61
+Computer Science and Engineering,Female,4.16,4.67,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,10th,3.66,3.62
+Computer Science and Engineering,Male,4.83,5,"Lower middle (15,000-30,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.63,3.63
+Computer Science and Engineering,Female,4.25,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.63,3.63
+Computer Science and Engineering,Male,4.5,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,4,No,11th,3.88,3.64
+Computer Science and Engineering,Male,3.5,4.72,"High (Above 50,000) ",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,2nd,3.64,3.64
+Computer Science and Engineering,Female,3.75,5,"Low (Below 15,000)",Village,5,2-3 Hours,0-1 Hour,80%-100%,No,4,Yes,11th,3.71,3.65
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",City,3,2-3 Hours,0-1 Hour,80%-100%,Yes,3,No,4th,3.6,3.65
+Computer Science and Engineering,Male,4.42,5,"High (Above 50,000)",City,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,10th,3.53,3.67
+Computer Science and Engineering,Male,4.5,5,"Upper middle (30,000-50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,10th,3.5,3.67
+Computer Science and Engineering,Male,4.42,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,10th,3.55,3.67
+Computer Science and Engineering,Male,3.17,4.31,"High (Above 50,000)",Village,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,9th,3.5,3.67
+Computer Science and Engineering,Female,3.67,4.38,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.52,3.67
+Computer Science and Engineering,Male,3.83,4.94,"Upper middle (30,000-50,000)",City,4,2-3 Hours,2-3 Hours,60%-79%,No,3,No,8th,3.51,3.67
+Computer Science and Engineering,Male,4.33,5,"High (Above 50,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,8th,3.52,3.67
+Computer Science and Engineering,Male,4.5,5,"Low (Below 15,000) ",Village,3,2-3 Hours,2-3 Hours,60%-79%,No,3,No,6th,3.5,3.67
+Computer Science and Engineering,Male,4.08,5,"High (Above 50,000)",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,6th,3.5,3.67
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000) ",City,5,2-3 Hours,2-3 Hours,60%-79%,No,3,No,5th,3.5,3.67
+Computer Science and Engineering,Female,5,5,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,2nd,3.68,3.68
+Computer Science and Engineering,Male,4.42,5,"Low (Below 15,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,2,Yes,2nd,3.69,3.69
+Computer Science and Engineering,Male,4.17,5,"Lower middle (15,000-30,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,2,Yes,2nd,3.69,3.69
+Computer Science and Engineering,Male,4,4,"Upper middle (30,000-50,000)",Village,4,More than 3 Hours,2-3 Hours,80%-100%,No,3,Yes,10th,4,3.7
+Computer Science and Engineering,Male,4.17,5,"Upper middle (30,000-50,000)",City,4,2-3 Hours,2-3 Hours,80%-100%,Yes,4,Yes,10th,1.82,3.7
+Computer Science and Engineering,Female,4.25,3.75,"Lower middle (15,000-30,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,10th,3.18,3.7
+Computer Science and Engineering,Male,3.14,4.44,"Upper middle (30,000-50,000)",City,5,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,10th,3.2,3.7
+Computer Science and Engineering,Female,3.19,4.81,"Low (Below 15,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,9th,3.16,3.7
+Computer Science and Engineering,Female,4,5,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,More than 3 Hours,60%-79%,No,5,Yes,8th,3.19,3.7
+Computer Science and Engineering,Male,4.17,5,"High (Above 50,000) ",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,Yes,7th,3.17,3.7
+Computer Science and Engineering,Female,3.8,4.78,"High (Above 50,000) ",Village,4,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,6th,3.19,3.7
+Computer Science and Engineering,Male,3.75,4.78,"High (Above 50,000)",City,4,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,5th,3.17,3.7
+Computer Science and Engineering,Male,4.5,5,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,5th,4,3.7
+Computer Science and Engineering,Male,4.17,4.95,"Low (Below 15,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.7,3.7
+Computer Science and Engineering,Male,4.67,4.5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.7,3.7
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,3,No,2nd,3.71,3.71
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,10th,3.73,3.71
+Computer Science and Engineering,Male,3.33,4.75,"High (Above 50,000) ",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,9th,3.73,3.71
+Computer Science and Engineering,Male,3.58,4.78,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,7th,3.74,3.71
+Computer Science and Engineering,Male,4.42,4.81,"Low (Below 15,000)",Village,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,10th,3.68,3.74
+Computer Science and Engineering,Female,4.5,5,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,10th,3.68,3.74
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,2-3 Hours,80%-100%,No,3,No,10th,3.85,3.74
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,2-3 Hours,80%-100%,No,4,No,10th,3.85,3.74
+Computer Science and Engineering,Female,4,4.44,"Lower middle (15,000-30,000)",City,4,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,9th,3.66,3.74
+Computer Science and Engineering,Male,3.4,4,"Lower middle (15,000-30,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,2,Yes,9th,3.7,3.74
+Computer Science and Engineering,Male,3.58,4.5,"High (Above 50,000)",Village,3,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,8th,3.67,3.74
+Computer Science and Engineering,Female,4.67,5,"High (Above 50,000) ",City,5,2-3 Hours,2-3 Hours,80%-100%,Yes,2,No,8th,3.87,3.74
+Computer Science and Engineering,Male,4.08,5,"High (Above 50,000)",City,5,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,6th,3.66,3.74
+Computer Science and Engineering,Male,3.83,4.83,"High (Above 50,000) ",Village,1,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,3rd,3.67,3.74
+Computer Science and Engineering,Female,4,5,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,2-3 Hours,80%-100%,No,3,No,11th,3.9,3.75
+Computer Science and Engineering,Female,4,5,"Low (Below 15,000)",Village,4,0-1 Hour,More than 3 Hours,80%-100%,No,5,No,11th,3.61,3.75
+Computer Science and Engineering,Male,4.25,5,"Low (Below 15,000)",Village,4,0-1 Hour,More than 3 Hours,60%-79%,No,4,No,10th,4,3.75
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,9th,4,3.75
+Computer Science and Engineering,Male,3.42,5,"Upper middle (30,000-50,000)",Village,4,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,9th,4,3.75
+Computer Science and Engineering,Male,4.08,4.39,"Upper middle (30,000-50,000)",Village,5,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,5th,4,3.75
+Computer Science and Engineering,Male,4,4.36,"High (Above 50,000) ",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,3rd,4,3.75
+Computer Science and Engineering,Female,3.92,4.89,"Lower middle (15,000-30,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.75,3.75
+Computer Science and Engineering,Male,4.5,5,"Upper middle (30,000-50,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.75,3.75
+Computer Science and Engineering,Female,4,4.83,"High (Above 50,000)",Village,4,0-1 Hour,2-3 Hours,80%-100%,No,4,No,2nd,3.75,3.75
+Computer Science and Engineering,Female,4.17,4.83,"Lower middle (15,000-30,000)",City,4,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.75,3.75
+Computer Science and Engineering,Male,4.25,4.72,"High (Above 50,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,5,Yes,2nd,3.75,3.75
+Computer Science and Engineering,Female,3.5,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.75,3.75
+Computer Science and Engineering,Male,4.25,5,"High (Above 50,000) ",City,5,0-1 Hour,2-3 Hours,80%-100%,Yes,2,No,2nd,3.75,3.75
+Computer Science and Engineering,Female,3.92,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,2-3 Hours,80%-100%,No,3,No,2nd,3.75,3.75
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",City,2,2-3 Hours,2-3 Hours,80%-100%,No,4,No,4th,3.66,3.76
+Computer Science and Engineering,Male,4.58,5,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,2-3 Hours,80%-100%,No,4,No,10th,3.89,3.78
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,10th,3.88,3.78
+Computer Science and Engineering,Male,4.25,5,"High (Above 50,000)",Village,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,5th,3.88,3.78
+Computer Science and Engineering,Male,4.75,5,"Lower middle (15,000-30,000)",Village,4,0-1 Hour,More than 3 Hours,80%-100%,Yes,3,Yes,10th,3.75,3.8
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,4,No,4th,3.9,3.8
+Computer Science and Engineering,Male,3.83,4.69,"Upper middle (30,000-50,000)",Village,5,0-1 Hour,2-3 Hours,80%-100%,No,4,No,10th,3.9,3.8
+Computer Science and Engineering,Male,4.5,4.61,"High (Above 50,000)",City,5,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,6th,3.93,3.8
+Computer Science and Engineering,Female,4.42,4.77,"Low (Below 15,000)",Village,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,3rd,3.92,3.8
+Computer Science and Engineering,Female,4.08,5,"Lower middle (15,000-30,000)",Village,4,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Female,4.08,4.82,"Lower middle (15,000-30,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Female,4.5,4.95,"Upper middle (30,000-50,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",Village,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Male,4.17,4.95,"Lower middle (15,000-30,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Female,4.17,5,"Lower middle (15,000-30,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Female,4.33,4.59,"High (Above 50,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Male,3.83,5,"Lower middle (15,000-30,000)",City,4,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,2nd,3.81,3.81
+Computer Science and Engineering,Male,4.42,4.68,"High (Above 50,000)",Village,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,2nd,3.84,3.84
+Computer Science and Engineering,Male,4.83,4.89,"Lower middle (15,000-30,000)",City,3,2-3 Hours,0-1 Hour,80%-100%,No,4,No,5th,3.67,3.87
+Computer Science and Engineering,Female,5,4.61,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,2-3 Hours,80%-100%,No,3,No,2nd,3.88,3.88
+Computer Science and Engineering,Female,4.08,5,"Low (Below 15,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.88,3.88
+Computer Science and Engineering,Male,4.5,4.89,"High (Above 50,000) ",Village,3,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.88,3.88
+Computer Science and Engineering,Female,5,5,"Lower middle (15,000-30,000)",City,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.88,3.88
+Computer Science and Engineering,Male,4.42,5,"High (Above 50,000)",City,3,2-3 Hours,0-1 Hour,80%-100%,Yes,5,No,2nd,3.88,3.88
+Computer Science and Engineering,Male,4.25,5,"Low (Below 15,000)",Village,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.88,3.88
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.88,3.88
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",Village,4,2-3 Hours,2-3 Hours,80%-100%,No,4,Yes,2nd,3.89,3.89
+Computer Science and Engineering,Female,5,5,"Low (Below 15,000)",Village,1,More than 3 Hours,2-3 Hours,80%-100%,No,1,No,2nd,3.91,3.91
+Computer Science and Engineering,Female,5,5,"High (Above 50,000)",Village,3,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,2nd,3.93,3.93
+Computer Science and Engineering,Female,4.17,5,"High (Above 50,000)",City,4,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,10th,3.94,3.94
+Computer Science and Engineering,Female,5,5,"Upper middle (30,000-50,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,10th,3.97,3.94
+Computer Science and Engineering,Male,4.75,5,"Lower middle (15,000-30,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,10th,3.94,3.94
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,0-1 Hour,80%-100%,Yes,5,No,6th,3.98,3.94
+Computer Science and Engineering,Female,4.3,5,"Upper middle (30,000-50,000)",Village,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,6th,3.94,3.94
+Computer Science and Engineering,Male,3.81,4.39,"Upper middle (30,000-50,000)",Village,3,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Male,4,4.39,"High (Above 50,000)  ",Village,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Female,4.42,5,"High (Above 50,000)",City,3,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Male,4.17,4.82,"Lower middle (15,000-30,000)",Village,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Male,3.75,4.78,"Upper middle (30,000-50,000)",City,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Male,4.42,4.95,"Upper middle (30,000-50,000)",Village,2,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Female,5,5,"High (Above 50,000)",Village,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Female,4,4.68,"Lower middle (15,000-30,000)",City,5,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,2nd,3.94,3.94
+Computer Science and Engineering,Male,4.5,4.75,"Upper middle (30,000-50,000)",Village,1,More than 3 Hours,0-1 Hour,80%-100%,No,4,No,8th,4,3.95
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,4,2-3 Hours,2-3 Hours,80%-100%,No,4,Yes,4th,4,3.96
+Computer Science and Engineering,Male,4.58,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,3,No,11th,4,3.98
+Computer Science and Engineering,Male,5,5,"Upper middle (30,000-50,000)",City,5,0-1 Hour,More than 3 Hours,60%-79%,No,4,Yes,4th,4,4
+Computer Science and Engineering,Female,5,5,"High (Above 50,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,4,No,3rd,4,4
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,4,0-1 Hour,More than 3 Hours,80%-100%,No,5,No,2nd,4,4
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",Village,5,0-1 Hour,More than 3 Hours,80%-100%,No,3,No,2nd,4,4
+Computer Science and Engineering,Male,5,5,"Low (Below 15,000)",City,3,2-3 Hours,2-3 Hours,80%-100%,No,3,No,2nd,4,4
+Computer Science and Engineering,Male,4.58,5,"High (Above 50,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Female,4.92,5,"High (Above 50,000)",City,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Male,4.33,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Male,5,5,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Female,5,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Female,5,5,"Lower middle (15,000-30,000)",City,5,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Computer Science and Engineering,Female,4.17,5,"Upper middle (30,000-50,000)",Village,4,0-1 Hour,More than 3 Hours,80%-100%,No,5,Yes,2nd,4,4
+Economics,Male,4.17,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,More than 3 Hours,80%-100%,No,3,Yes,11th,3.14,3.7
+Economics,Male,4.75,4.83,"Low (Below 15,000)",Village,2,0-1 Hour,More than 3 Hours,60%-79%,No,2,Yes,4th,3.66,3.74
+Economics,Male,4.9,5,"High (Above 50,000)",City,4,2-3 Hours,2-3 Hours,80%-100%,No,4,Yes,10th,3.8,3.75
+Economics,Male,5,4.83,"Lower middle (15,000-30,000)",Village,2,0-1 Hour,0-1 Hour,80%-100%,No,3,Yes,2nd,4,4
+Electrical and Electronic Engineering,Male,3.42,4.33,"Lower middle (15,000-30,000)",City,4,2-3 Hours,2-3 Hours,80%-100%,Yes,2,Yes,7th,3.83,2.97
+English,Female,3.5,4.2,"Upper middle (30,000-50,000)",City,2,More than 3 Hours,More than 3 Hours,60%-79%,No,2,Yes,6th,3.25,3.15
+English,Male,4.33,4.39,"Lower middle (15,000-30,000)",Village,4,2-3 Hours,2-3 Hours,80%-100%,No,4,No,4th,3.25,3.32
+English,Female,4.5,4,"Upper middle (30,000-50,000)",City,2,2-3 Hours,0-1 Hour,60%-79%,No,3,Yes,7th,3.33,3.33
+English,Male,3.58,4.88,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,2-3 Hours,60%-79%,No,4,Yes,11th,3.35,3.45
+English,Female,5,5,"Lower middle (15,000-30,000)",Village,1,More than 3 Hours,2-3 Hours,80%-100%,No,3,Yes,5th,3.43,3.47
+English,Female,5,5,"Low (Below 15,000)",Village,1,0-1 Hour,More than 3 Hours,80%-100%,No,5,No,3rd,3.55,3.47
+English,Female,5,5,"Low (Below 15,000)",City,1,0-1 Hour,2-3 Hours,80%-100%,No,3,No,3rd,3.58,3.56
+English,Male,4.25,4.41,"Upper middle (30,000-50,000)",Village,4,2-3 Hours,0-1 Hour,80%-100%,No,4,Yes,12th,3.66,3.6
+English,Female,4.25,5,"Lower middle (15,000-30,000)",Village,3,0-1 Hour,2-3 Hours,80%-100%,No,4,Yes,10th,3.75,3.68
+English,Female,4.25,5,"Lower middle (15,000-30,000)",City,4,2-3 Hours,2-3 Hours,80%-100%,No,4,No,10th,3.85,3.74
+English,Female,4.25,4.68,"High (Above 50,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,3rd,3.71,3.75
+English,Male,5,5,"Lower middle (15,000-30,000)",City,2,0-1 Hour,0-1 Hour,80%-100%,No,4,Yes,4th,3.93,3.8
+English,Female,4.58,5,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,More than 3 Hours,80%-100%,No,5,Yes,3rd,3.83,3.83
+English,Male,5,5,"Lower middle (15,000-30,000)",Village,2,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,4th,4,3.93
+"Journalism, Communication and Media Studies",Male,3.27,4.82,"Upper middle (30,000-50,000)",City,2,0-1 Hour,2-3 Hours,40%-59%,No,3,Yes,2nd,2.25,2.25
+"Journalism, Communication and Media Studies",Female,4.67,4.56,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,60%-79%,No,4,No,2nd,2.5,2.5
+"Journalism, Communication and Media Studies",Male,3.83,3,"Low (Below 15,000)",Village,2,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,3rd,3.17,3
+"Journalism, Communication and Media Studies",Male,4.42,3.94,"Lower middle (15,000-30,000)",Village,5,2-3 Hours,More than 3 Hours,80%-100%,No,5,No,2nd,3.09,3.09
+"Journalism, Communication and Media Studies",Female,4.5,4.28,"Lower middle (15,000-30,000)",Village,2,2-3 Hours,0-1 Hour,80%-100%,No,2,Yes,2nd,3.17,3.17
+"Journalism, Communication and Media Studies",Female,3.08,3.33,"Lower middle (15,000-30,000)",Village,3,2-3 Hours,More than 3 Hours,60%-79%,No,3,No,3rd,2.17,3.5
+"Journalism, Communication and Media Studies",Male,4.53,3.91,"Low (Below 15,000)",Village,5,0-1 Hour,0-1 Hour,80%-100%,No,2,Yes,3rd,3.83,3.5
+"Journalism, Communication and Media Studies",Female,4.5,4.34,"High (Above 50,000)",Village,3,More than 3 Hours,0-1 Hour,80%-100%,No,5,Yes,2nd,3.5,3.5
+"Journalism, Communication and Media Studies",Male,4,4,"Upper middle (30,000-50,000)",City,3,2-3 Hours,More than 3 Hours,80%-100%,No,3,Yes,12th,3.56,3.6
+"Journalism, Communication and Media Studies",Female,2.85,3.64,"Low (Below 15,000)",City,4,2-3 Hours,More than 3 Hours,80%-100%,Yes,3,Yes,6th,3.5,3.67
+"Journalism, Communication and Media Studies",Male,4,4.33,"Upper middle (30,000-50,000)",City,3,2-3 Hours,0-1 Hour,80%-100%,No,3,Yes,11th,3.88,3.78
+"Journalism, Communication and Media Studies",Male,3.17,3.17,"Lower middle (15,000-30,000)",City,3,0-1 Hour,More than 3 Hours,80%-100%,No,3,Yes,3rd,3.83,3.8
+"Journalism, Communication and Media Studies",Female,4.42,4.72,"Lower middle (15,000-30,000)",City,4,0-1 Hour,2-3 Hours,80%-100%,No,3,Yes,12th,4,4
+Law and Human Rights,Female,5,5,"Low (Below 15,000)",Village,1,More than 3 Hours,2-3 Hours,80%-100%,No,4,Yes,2nd,3.69,3.69
+Law and Human Rights,Female,3.58,4.86,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,2-3 Hours,60%-79%,No,1,Yes,4th,3.9,3.79
+Political Science,Female,3.5,4,"Upper middle (30,000-50,000)",City,2,More than 3 Hours,More than 3 Hours,80%-100%,Yes,5,No,10th,3.15,2.85
+Political Science,Male,5,4.94,"High (Above 50,000)",City,5,0-1 Hour,2-3 Hours,Below 40%,No,4,Yes,2nd,3.31,3.31
+Political Science,Male,5,4.68,"Low (Below 15,000)",City,5,More than 3 Hours,More than 3 Hours,80%-100%,No,5,Yes,5th,3.56,3.56
+Political Science,Female,4.25,3.72,"Lower middle (15,000-30,000)",Village,1,0-1 Hour,More than 3 Hours,80%-100%,Yes,1,Yes,2nd,3.68,3.68
+Political Science,Female,5,4.89,"High (Above 50,000)",Village,2,2-3 Hours,2-3 Hours,80%-100%,No,2,Yes,3rd,3.88,3.88
+Political Science,Male,5,4.78,"Lower middle (15,000-30,000)",Village,1,2-3 Hours,0-1 Hour,80%-100%,No,1,Yes,2nd,3.94,3.94
+Public Health,Male,3.5,4,"Lower middle (15,000-30,000)",Village,2,More than 3 Hours,2-3 Hours,40%-59%,Yes,2,Yes,7th,3.25,3.1
+Public Health,Male,4.5,4,"Upper middle (30,000-50,000)",City,4,2-3 Hours,2-3 Hours,60%-79%,No,3,Yes,9th,3.5,3.67
+Sociology,Female,4.56,3.67,"Lower middle (15,000-30,000)",City,3,0-1 Hour,2-3 Hours,40%-59%,No,2,No,2nd,3.56,3.56
+Sociology,Male,4.23,4.5,"Low (Below 15,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,3,Yes,10th,3.61,3.75
+Sociology,Female,3.83,5,"Lower middle (15,000-30,000)",Village,3,More than 3 Hours,2-3 Hours,80%-100%,No,4,Yes,12th,4,3.86

app.py

@@ -0,0 +1,162 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+from sklearn.preprocessing import LabelEncoder, StandardScaler
+from sklearn.cluster import KMeans
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.metrics import confusion_matrix, classification_report
+
+# Load dataset
+df = pd.read_csv("ResearchInformation3.csv")
+
+# Preprocessing
+categorical_cols = ['Department', 'Gender', 'Income', 'Hometown', 'Preparation', 'Gaming',
+                    'Attendance', 'Job', 'Extra', 'Semester']
+le = LabelEncoder()
+for col in categorical_cols:
+    df[col] = le.fit_transform(df[col])
+
+# Create performance labels based on GPA
+conditions = [df['Overall'] >= 3.8, df['Overall'] >= 3.0, df['Overall'] < 3.0]
+choices = ['High', 'Medium', 'Low']
+df['PerformanceLabel'] = np.select(conditions, choices, default='Unknown').astype(object)
+
+# Scale numerical features for clustering
+features = df.drop(columns=['Overall', 'PerformanceLabel'])
+scaler = StandardScaler()
+X_scaled = scaler.fit_transform(features)
+
+# Apply KMeans Clustering to group similar students
+kmeans = KMeans(n_clusters=3, random_state=42)
+df['Cluster'] = kmeans.fit_predict(X_scaled)
+
+# Train a Random Forest Classifier using original features + cluster labels
+X = df.drop(columns=['Overall', 'PerformanceLabel'])
+y = df['PerformanceLabel']
+clf = RandomForestClassifier(random_state=42)
+clf.fit(X, y)
+y_pred = clf.predict(X)
+
+# Streamlit App Configuration
+st.set_page_config(layout="wide")
+tabs = st.tabs(["About the App", "Dataset & Results", "Performance Checker"])
+
+# Page 1: About the App
+with tabs[0]:
+    st.title("🎓 Student Performance Analysis App")
+    st.markdown("""
+        Welcome to the **Student Performance Analysis App**! This app uses a combination of **Unsupervised Learning (KMeans Clustering)** and **Supervised Learning (Random Forest Classification)** to analyze student academic and behavioral data. Here's how it works:
+
+        - **Clustering**: The KMeans algorithm groups students based on their traits and behavior, identifying clusters of students with similar characteristics. This helps us uncover patterns within the data.
+        - **Classification**: The Random Forest classifier predicts the performance (GPA) of students—categorized into **High**, **Medium**, or **Low**—based on their features and cluster group.
+
+        ### Key Features:
+        - **Clustering** of students into distinct groups based on their behavior and performance data.
+        - **Classification** of students into performance labels (High, Medium, Low GPA).
+        - **Visualizations** and detailed analyses to help understand the data and model predictions.
+
+        This tool aims to help educators, researchers, and students themselves identify trends and make data-driven decisions.
+    """)
+
+# Page 2: Dataset & Results
+with tabs[1]:
+    st.header("📊 Dataset Overview")
+    st.markdown("""
+        The dataset contains various features related to students' academic performance and behavioral characteristics. The features have been preprocessed, including encoding of categorical variables and clustering of students using KMeans.
+
+        Below are the first few rows of the dataset after preprocessing, where categorical variables have been converted into numerical values, and clusters have been assigned to each student based on their behavior and academic performance.
+    """)
+    st.dataframe(df.head())
+
+    st.subheader("🎯 Cluster Distribution")
+    st.markdown("""
+        The **Cluster Distribution** chart shows how the students are distributed across different clusters identified by the KMeans algorithm. Each cluster represents a group of students with similar attributes, such as academic performance and behavioral characteristics.
+    """)
+    fig1, ax1 = plt.subplots(figsize=(8, 6))
+    sns.countplot(data=df, x='Cluster', hue='Cluster', palette='Set2', ax=ax1)
+    ax1.set_title("Number of Students per Cluster")
+    ax1.set_xlabel("Cluster")
+    ax1.set_ylabel("Count")
+    st.pyplot(fig1)
+
+    st.subheader("📊 Cluster Feature Comparison")
+    st.markdown("""
+        The **Cluster Feature Comparison** chart compares the **Attendance** feature across different student clusters. This visualization helps us understand how attendance varies between the different clusters, which can indicate patterns in student behavior.
+    """)
+    fig2, ax2 = plt.subplots(figsize=(8, 6))
+    sns.boxplot(x='Cluster', y='Attendance', data=df, hue='Cluster', palette='Set2', ax=ax2)
+    ax2.set_title("Cluster-wise Distribution of Attendance")
+    st.pyplot(fig2)
+
+    st.subheader("📈 Performance Comparison Across Clusters")
+    st.markdown("""
+        The **Performance Comparison Across Clusters** chart shows the distribution of students' performance labels (High, Medium, Low GPA) within each cluster. This helps to visualize how performance is spread across the clusters and identify trends in academic achievement.
+    """)
+    fig3, ax3 = plt.subplots(figsize=(8, 6))
+    sns.countplot(data=df, x='PerformanceLabel', hue='Cluster', ax=ax3)
+    ax3.set_title("Performance Distribution per Cluster")
+    st.pyplot(fig3)
+
+    st.subheader("📈 Top 5 Confusion Matrix Entries")
+    st.markdown("""
+        The **Confusion Matrix** shows the performance of the Random Forest classifier in predicting students' performance labels (High, Medium, Low GPA). It compares the actual vs predicted values, helping us assess how well the model is performing.
+    """)
+    cm = confusion_matrix(y, y_pred, labels=['High', 'Medium', 'Low'])
+    cm_df = pd.DataFrame(cm, index=['High', 'Medium', 'Low'], columns=['High', 'Medium', 'Low'])
+    st.dataframe(cm_df)
+
+    st.subheader("🎯 Model Performance Metrics")
+    st.markdown("""
+        Here are the performance metrics of the Random Forest classifier. The **classification report** provides detailed information on precision, recall, and F1-score for each performance category (High, Medium, Low GPA).
+    """)
+    st.text(classification_report(y, y_pred, target_names=['High', 'Medium', 'Low']))
+
+# Page 3: Performance Checker
+with tabs[2]:
+    st.header("🔍 Student Performance Checker")
+    st.markdown("""
+        Use this feature to check the predicted performance and assigned cluster for a specific student. You can select a student by their index, and the app will display their features, the predicted performance level (High, Medium, Low), and the cluster group they belong to.
+    """)
+    
+    student_idx = st.slider("Select Student Index", 0, len(df)-1, 0, key="student_index_slider")
+    student = df.iloc[student_idx]
+
+    st.subheader("📌 Selected Student Features")
+    st.markdown("""
+        These are the features of the selected student, excluding the overall GPA and performance label. This data helps to understand the individual characteristics of the student.
+    """)
+    st.dataframe(student.drop(['Overall', 'PerformanceLabel']).to_frame().T)
+
+    st.subheader("📊 Prediction Summary")
+    st.markdown("""
+        Based on the features of the selected student, the **Predicted Performance Level** and **Assigned Cluster** are shown below. This prediction is made using the Random Forest classifier and KMeans clustering.
+    """)
+    st.success(f"Predicted Performance Level: **{y_pred[student_idx]}**")
+    st.info(f"Assigned Cluster Group: **{student['Cluster']}**")
+
+    st.subheader("🔎 Feature Importance")
+    st.markdown("""
+        The **Feature Importance** chart shows the top 5 most important features used by the Random Forest classifier to predict the student's performance. Higher importance features are more influential in making predictions.
+    """)
+    feature_importances = pd.Series(clf.feature_importances_, index=X.columns)
+    top_features = feature_importances.sort_values(ascending=False).head(5)
+    st.bar_chart(top_features)
+
+    st.subheader("📊 Feature Comparison for Selected Student")
+    st.markdown("""
+        The **Feature Comparison** table compares the values of each feature for the selected student. This allows for a deeper understanding of how the student's attributes contribute to the performance prediction.
+    """)
+    feature_comparison = pd.DataFrame(student.drop(['Overall', 'PerformanceLabel']).values,
+                                      columns=["Value"], index=student.drop(['Overall', 'PerformanceLabel']).index)
+    st.dataframe(feature_comparison)
+
+    st.subheader("📈 Cluster Visualization")
+    st.markdown("""
+        The **Cluster Visualization** scatter plot shows how students are distributed in the 2D space of **Attendance** vs **Income**. Each point represents a student, colored by their assigned cluster group.
+    """)
+    fig4, ax4 = plt.subplots(figsize=(8, 6))
+    sns.scatterplot(x='Attendance', y='Income', hue='Cluster', data=df, palette='Set2', ax=ax4)
+    ax4.set_title("Cluster Distribution in Attendance vs Income")
+    st.pyplot(fig4)