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Bayes is able to predict the total number of students whose are outstanding, excellent, very-good, good, average, poor. The outcomes of feature selection method showed that 10 th percentage and 12 th Percentage were ranked top from all features and the result obtained by Nave Bayes is better because it has a higher accuracy rate. The result also provides step to improve students' performance who were predicted to poor. With the help of this prediction, we will identify the students whose are weak and help to gain better CGPA.
Tanuja Sharma (Sat,) studied this question.