- Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-NN, etc. for Malaria Cells classification
- Used different feature extraction techniques like HOG, LBP, SIFT, SURF, pixel values
- Feature reduction techniques PCA, LDA
- Normalization techniques such as z-score and min-max
- Classifiers such as Naive Bayes, SVM XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests
- Metrics such as Accuracy, Precision, Recall, F1 score, and ROC
