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@article{154170,
        author = {E. Iyappan and K. Rajapriya and A. Santhosh and T. Sasikumar and P. Vinitha and M.S. Sassirekha and Anbarasan Balakrishnan},
        title = {Student Academic Performance analysis using Classification algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {35-38},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154170},
        abstract = {In   this   paper,   we  performed   analysis  is   to measure  performance  of  the  students  and  factors  affecting their performance. The model can be used for early predicting student performance to help in improving student performance on the subject. Supervised algorithms like Decision tree, Adaboost,   Random   Forest,   Stochastic   classification   and Logistic regression are used to predict the model.},
        keywords = {Classification, Support Vector classification, Adaboost,    Matplotlib, Seaborn, Logistic regression, Decision tree, Random forest, Stochastic classification
},
        month = {},
        }