- Handling Null Values
- Feature Scaling
- Handling Categorical Variables
By using Non-Tree based models
| Model | F1 Score (%) |
|---|---|
| Logistic Regression | 88.88 |
| Naive Bayers | 81.18 |
| SVM (using linear kernel) | 90.74 |
| SVM (using sigmoid kernel) | 48.14 |
| SVM (using RBF Kernel) | 88.88 |
| SVM (using poly RBF kernel) | 92.59 |
| K-nearest Neighbors | 81.18 |
By using Tree based models
| Model | F1 Score (%) |
|---|---|
| Decision Tree Classifier | 98 |
| Random Forest Classifier | 94.44 |
| XGBoost Classifier | 100 |
By using Convolutional Neural Network
| Model | F1 Score (%) |
|---|---|
| Custom CNN | 71.15 |