| cgcv | Estimate Misclassification Rate Using d-fold Cross-Validation... |
| churn | Customer Churn Data |
| Detroit | Detroit Homicide Data for 1961-73 |
| dShao | Shao Holdout Sample Size for Linear Regression Variable... |
| featureSelect | Feature Select For Wide Data |
| fires | Forest Fires in Montesinho Natural Park |
| gcv | Estimate EPE Using Delete-d Cross-Validation |
| gencve-package | General Cross Validation Engine General Cross Validation... |
| kNN_LOOCV | Select k with Leave-one-out CV |
| kNN_MLE | MLE k in kNN |
| kyphosis | Data on Children who have had Corrective Spinal Surgery |
| logloss | log-loss function for multiclass prediction |
| mae | Mean Absolute Error |
| mape | Mean Absolute Percentage Error |
| meatspec | Meat Spectrometry to Determine Fat Content |
| misclassificationrate | Misclassification Rate for Class Prediction |
| mse | Mean Square Error Loss |
| pollution | Pollution Data from McDonald and Schwing |
| prostate | Prostate Cancer Data |
| rdigitsBFOS | BFOS Digit Recognition Problem |
| regal | Regression EPE for All Implemented Methods |
| rmix | Random Mixture Classification Example |
| rxor | Random XOR Samples |
| ShaoReg | Synthetic Regression Data |
| SinghTest | Singh Prostate Microarray Test Data |
| SinghTrain | Singh Prostate Microarray Training Data |
| smape | Mean Absolute Percentage Error |
| vifx | Variance Inflation Factor |
| yhat_CART | CART regression prediction |
| yhat_gel | Elastic Net Regression Prediction |
| yhat_lars | Fit LASSO Regression using Mallows Cp and Predict |
| yhat_lm | Linear Predictor using Least-Squares Regression |
| yhat_nn | Nearest Neighbour Prediction |
| yhat_plus | SCAD or MCP Regression Prediction |
| yhat_RF | Fit Random Forest Regression Predictor |
| yhat_step | Backward Stagewise Regression with AIC or BIC |
| yhat_SVM | Support Vector Machine Regression Prediction |
| yh_C50 | C50 Prediction |
| yh_CART | CART Prediction |
| yh_kNN | kNN or NN prediction |
| yh_lda | LDA predictions |
| yh_logistic | Logistic Regression and Regularized Logistic Regression... |
| yh_NB | Naive Bayes Prediction |
| yh_qda | QDA Prediction |
| yh_RF | Random Forest Prediction |
| yh_svm | Support Vector Machine Prediction |
