Aims: The capability to predict the student's performance is highly beneficial to take remedial actions in the present educational system.
Background: In this paper, address the issue of Student Academic Performance (SAP) by the use of Machine Learning based classification model.
Objective: Education Data Classification Model.
Method: To classify the data properly, multilayer perceptron (MLP) with Deep Learning Model is employed.
Result: The simulation outcome exhibited that the MLP-SGD model offers better results over the other classifiers.
Conclusion: However, the usage of outlier detection using RBF model takes the classifier results to a next level.