| ATOMIC | Automated Imbalanced Classification |
| attrWithOutliers | 1. Attributes with outliers |
| classNames | Returns the names of classes |
| ClassPD | 16. Percentual Difference by Class (PDC) F1, F2 and F3 |
| cv.folds | Create cross validation folds |
| cv.shuffle | Randomly shuffle the data |
| eval.func | Evaluation function to assess predictive ability of models |
| fscore | Calculates the F1-Score for a pair set of true and predicted... |
| getMetaFeatures | Meta-Feature Description |
| kf_xval | k-fold cross validation |
| landmarker.nb | Naive Bayes Landmarkers |
| landmarker.tree | 17. Landmarkers Trees, NB |
| measOverlap | 15. Measures of Overlapping F1, F2 and F3 |
| percDiff | Percentual Difference |
| predict.atomic | Prediction method for the ATOMIC method |
| rs.Adasyn | ADASYN |
| rs.ENN | Edited Nearest Neighbour |
| rs.ImpSamp | Importance Sampling |
| rs.RandOver | Random Oversampling |
| rs.RandUnder | Random Undersampling |
| rs.SMOTE | Synthetic Minority Over-sampling Technique (SMOTE) |
| rs.TomekUnder | Undersampling with Tomek links |
| statsALL_NumAttrs | 8-12. Eval all the following metrics on Numeric Attributes... |
| statsCor_NumAttrs | 2. Correlation between Numeric Attributes min, max, mean, sd,... |
| statsCoV_NumAttrs | 7. Coefficient of Variation min, max, mean, sd, var, hist |
| statsEnt | 13. Entropy (Empirical) of Attributes min, max, mean, sd,... |
| statsGKur_NumAttrs | 4. Geary's Kurtosis of Numeric Attributes min, max, mean, sd,... |
| statsIQR_NumAttrs | 3. Interquartile Range (IQR) min, max, mean, sd, var, hist |
| statsMAS_NumAttrs | 9. Maximum Asymmetry Score (MAS) between Numeric Attributes... |
| statsMCN_NumAttrs | 11. Minimum Cell Number (MCN) between Numeric Attributes min,... |
| statsMEV_NumAttrs | 10. Maximum Edge Value (MEV) between Numeric Attributes min,... |
| statsMIC_NumAttrs | 8. Maximal Information Coefficient (MIC) between Numeric... |
| statsMuI | 14. Mutual Information of Attributes min, max, mean, sd, var,... |
| statsPKur_NumAttrs | 5. Pearson's Kurtosis of Numeric Attributes min, max, mean,... |
| statsSkew_NumAttrs | 6. Skewness of Numeric Attributes min, max, mean, sd, var,... |
| statsTIC_NumAttrs | 12. Total Information Coefficient (TIC) between Numeric... |
| wf.NaiveBayes | Naive Bayes (Landmarker) |
| wf.RandomForest | Workflow with Random Forest learning algorithm |
| wf.Tree | Decision Tree (Landmarker) |
