Educational Analytics using Modern Methods of Classification

In today’s Era success rate of students play a major role in overall growth of students, so Higher Educational University use many performance evaluation techniques. Universities use many Statistical, physical examination and data mining technique for evaluating students’ performance Educational datasets are very useful in modern day’s world for extracting important information from it. These information’s can be used to know the important facts about performances. In this paper machine learning and classification techniques are used on educational datasets to predict the important factors for high academic performances. Also, to find out the relation between these individual factors. Prediction is made more accurate by using different data classifications techniques used in data mining and the best suitable classification technique for educational datasets is determined. For this we used modern classifications techniques and kalboard 360 dataset.