JCC_V2_N3_RP5 B. Rakesh K. Malli Priya J. Harshini Journal on Cloud Computing 2350-1308 2 3 30 36 Educational Data Mining, Higher Educational Institutions, Weka, Random Forest Classification Algorithm Educational data mining is one of the fields where there is lot of scope for research, which helps educational institutions to analyse the learning capability of the students. And also gives scope to the educational institutions to make modifications in the curriculum and also to change the teaching methodologies based upon the learning capability of a student. Here, this paper concentrates on the learning capability of the students in higher educational institutions. For that, a dataset of 300 records was collected with various socio-economical and graduate attribute factors. Various classification algorithms was performed on the dataset using Weka, an open source tool. Random forest classification algorithm was found as the best performing algorithm on the dataset. This algorithm was used to design an user interface which is used to predict the future state of a student. May - July 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=4794