Classification of students results using KNN and ANN
Ulfat Imdad, Waqar Ahmad, Muhammad Asif, Atiab Ishtiaq · 2017
It is a primary concern to observe the student's academic performance for high learning. This paper proposes a method for student's results classification centered on the clustering of data and agreeing on their performance level. It is based on two traditional evolutionary algorithms. This system evaluates KNN and ANN using given data set for a student result classification by using multilayer perceptron. Data from educational boards of Pakistan is being used for the evaluation. The proposed system will be useful for academic planners for making an effective resolution.