SAPM: ANFIS based prediction of student academic performance metric

Abstract

A methodology for evaluating the academic performance metric of students is proposed in this paper based on their performance in periodic assessment tests, attendance and complexity of the question set. These are the major features determining the students learning efficiency evaluation. The impact of these metrics plays a major role in predicting the final grade of a student. The application of adaptive neuro fuzzy inference system helps to model the frame work for evaluating Student Academic Performance Metric(SAPM). The outcome of this methodology can be used to classify the students based on their academic skill and helpful in predicting the probability of their success in the final examinations.