"SVMAgent.py" defines classes related to dataset and training SVM and MLP models.

You can compare our algorithm's MLP loss with the baseline by running "MLP 1st.py" and "MLP 0th.py".

Similarly, you can compare our algorithm's SVM loss with the baseline by running "SVM 1st.py" and "SVM 0th.py",
where the datasets are sourced from LIBSVM: "https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/".

You may need to download the relevant dataset separately to run "SVM.py". However, the dataset for "MLP.py" is downloaded online,
so you can run it directly.