Student academic performance classification with neural network
This is a multi-class classification task on students’ performances. I use variety of models on this dataset for improving the performance. For example:
- Using different layer size and different numbers of neurons in Dense layers.
- Using Dropout
- Using Batc hNormalization
This is one my project of Deep Learning course at University of Guilan in winter 2022.
For Evaluating of each model, there is classification report and loss and accuracy plot. Finally, best models were evaluated by K-fold.
The dataset contains informatation about students like: place of birth, raise hand, discussion, etc.
Link of the dataset: https://www.kaggle.com/datasets/aljarah/xAPI-Edu-Data