Predicting Student Performance Using Deep Learning Models: A Comparative Study of MLP, CNN, BiLSTM, and LSTM with Attention
This study aims to predict student performance using deep learning models, including Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN), Bidirectional Long Short-Term Memory (BiLSTM), and Long Short-Term Memory with Attention (LSTM with Attention). The dataset comprises student demogra...
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| Published in: | MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4; no. 4; pp. 1561 - 1567 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
09.10.2024
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| ISSN: | 2797-2313, 2775-8575 |
| Online Access: | Get full text |
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