Table 3.
Models’ legend, extended name and method used to calculate the classifier using the caret package of the R statistical software.
| Model | Extended Name | Caret Method |
|---|---|---|
| C5TREE | Decision tree | C5.0Tree |
| DT | Decision tree | C5.0 |
| HDDA | High dimensional discriminant analysis | hda |
| KNN | K-nearest neighbours | kknn |
| LOGREG | Logistic regression | glm |
| NB | Naive Bayes | nb |
| NN | Neural network | nn |
| PAM | Nearest shrunken centroids | pam |
| PDA | Penalised discriminant analysis | pda |
| PLS | Partial least square | pls |
| RF_DEF | Random forest | rf. Default parameters |
| RF_GRID | Random forest | rf. Grid search |
| RF_RAND | Random forest | rf. Random search |
| SDA | Shrinkage discriminant analysis | sda |
| SVM | Support vector machine | svmPoly. Polynomial Kernel |