T1FF: Classification, Regression, Forecasting, Tuning, and Nested Validation30 days ago
Overview | Method | Installation and package contents | Binary classification | Prediction types | Separation and stable probabilities | Support-vector local models | Hyperparameter tuning | Model evaluation | Nested cross-validation benchmark | Regression | Time-series forecasting | Categorical predictors and missing values | Reproducibility and reporting | Current limitations