|
| Features | Bivariate Normal | Ranked | Categorical | Mixed |
| Target |
|
|
|
|
|
| Binary | Model |
|
|
|
|
|
| Logistic Regression | 5 | 6 | 7 | 14.2 |
|
| Decision Tree | 2 | 3 | 15 | 3.3 |
|
| Random Forest | 139 | 209 | 183 | 208.6 |
|
| SVM | 18 | 39 | 21 | 37.3 |
|
| Gradient Boosting | 14 | 25 | 14 | 22.7 |
|
| Neural Network | 223 | 356 | 262 | 287 |
| Continuous | Model |
|
|
|
|
|
| Linear Regression | 1.2 | 0.8 | 8.8 | 1.6 |
|
| Decision Tree | 3 | 2.3 | 1 | 2.8 |
|
| Random Forest | 206 | 167 | 156.9 | 170.9 |
|
| SVM | 30 | 42 | 10 | 30.4 |
|
| Gradient Boosting | 17 | 13 | 8.7 | 10.2 |
|
| Neural Network | 26 | 14 | 6.8 | 66.4 |
| Poisson | Model |
|
|
|
|
|
| Poisson Regression | 0.8 | 6 | 2.4 | 8 |
|
| Decision Tree | 2.3 | 2.7 | 1 | 8 |
|
| Random Forest | 167 | 173.7 | 158.4 | 3.4 |
|
| SVM | 42 | 36.6 | 22.2 | 176.5 |
|
| Gradient Boosting | 13 | 12.9 | 7.5 | 9.5 |
|
| Neural Network | 14 | 24 | 6.6 | 43.1 |