Optimal Stochastic Gradient Descent With Multilayer Perceptron Based Student's Academic Performance Prediction Model

(E-pub Abstract Ahead of Print)

Author(s): S Ranjeeth*, T.P. Latchoumi, P Victer Paul.

Journal Name: Recent Advances in Computer Science and Communications
Formerly: Recent Patents on Computer Science

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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.

Keywords: Prediction model, Outlier detection, MLP, SGD, RBF, Academic

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/2666255813666191116150319
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