JIITA, vol.7 no.2, p.681-693 2023, DOI: 10.22664/ISITA.2023.7.2.681
B.Jayapradha, M.Rameshkumar, T.Velmurugan
Abstract: In the current world, the behaviour of the students’ changes from time to time, based on their emotional decisions for the kind of activities they are involved with. A number of emotions are produced by the students, when they carry out an action about a particular incident-based activity. This research work, analysis such kind of emotion-based students’ personalities through their activities using some of the data mining techniques for which the DM techniques Naive Bayes and Random Forest are utilized to predict the usefulness of the students’ activities, created by means of their decisions. The data set is collected from the students for this analysis. The performance of both the algorithms is evaluated based on the results of student’s decision-making responses. The best algorithm for the analysis of emotional intelligence-based students’ information is suggested based on the accuracy of the algorithms.
Keywords: Data Mining Algorithms, Emotional Intelligence, Naïve Bayes Algorithm, Random Forest Algorithm, Performance Accuracy.
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