- Feature Descriptor
- HOG
- LBP
- Classification
- Decision Tree
- Gradient Boosting
- K-Nearest Neighbor
- Random Forest
- Machine Learning
- Computer Vision
- GridSearchCV
- Image Augmentation
- Gradient Boosting got
- accuracy → 86.67%
- sensitivity → 93.33%
- specificity → 80.33%
- KNN got
- accuracy → 89.33%
- sensitivity → 91.67%