| ensembleML-package | ensembleML: Unified Ensemble Machine Learning Interface |
| em_calibration | Calibration (Reliability) Diagram |
| em_compare | Compare Multiple Ensemble Algorithms |
| em_confusion | Confusion Matrix |
| em_cv | k-Fold Cross-Validation |
| em_evaluate | Evaluate Model Performance |
| em_fit | Fit an Ensemble Model |
| em_importance | Feature Importance |
| em_partial | Partial Dependence Plot |
| em_plot_cv | Plot Cross-Validation Fold Results |
| em_predict | Predict from an Ensemble Model |
| em_residuals | Residual Diagnostics for Regression Models |
| em_tune | Tune Hyperparameters via Cross-Validation Grid Search |
| ensembleML | ensembleML: Unified Ensemble Machine Learning Interface |