Regression
Models
- Linear regression
- Generalized linear regression
- Regression tree
- Random regression forest
- Gradient boost regression tree
Evaluation Metrics
- MSE
- RMSE
- MAE
- R2
Feature Normalization and Scaling
- Standard scaling (z-score)
- Min-max 0-1 scaling
- Min-max -1-1 scaling
- Max absolute scaling
- L1 normalization
- L2 normalization
Other Functionality
- Cross-validation (param grid)
- Dimensionality reduction by PCA
- Results storable to DB