International Journal of Science, Engineering and TechnologyAuthors: Dr. Rama Soni
Abstract: Now in days higher education is very important for development of our country as well as for the bright future of individual one . That’s why the performance of students is abigdeal. Every education center is claiming that it gives quality education and best environment toits students. [1] But outcomes are not satisfying to our expectations so many researchers aretrying to research in this area to get accurate result of student’s accuracy. [2] With this research we will calculated the accuracy and analyze the student performance withthe help of dif erent algorithms like K-NN, Decision Tree, Random Forest and Naive Bayes andwe will compare that which algorithm give accurate result from data set and which one is best. With this research paper students and educational institutions can predict and increase self performance as required.
DOI: http://doi.org/10.5281/zenodo.20175328
