epilepsi.csv contains 4 features: base, age, seizure.rate, period
Based on these features, the developed model classifies whether the patient is getting a real or fake treatment.
4 different models have been created for this class project:
- SVM
- KNN
- Logistic Regression
- Gaussian Naive Bayes
We wanted to show that first 2 models are the best approach for a simple binary classification like this. Since we have neither continous nor skewed data, LR and GNN performed very poorly expectedly.