| classim | Classify image using a given classifier | more routines |
| classc | Convert mapping to classifier |
| labeld | Find labels of objects by classification |
| cleval | Classifier evaluation (learning curve) |
| clevalb | Classifier evaluation (learning curve), bootstrap version |
| clevalf | Classifier evaluation (feature size curve) |
| clevals | Classifier evaluation (feature /learning curve), bootstrap |
| confmat | Computation of confusion matrix |
| costm | Cost mapping, classification using costs |
| crossval | Crossvalidation |
| disperror | Display error matrix with information on classifiers and datasets |
| labelim | Construct image of labeled pixels |
| loso | Leave_one_set_out crossvalidation |
| mclassc | Computation of multi-class classifier from 2-class discriminants |
| reject | Compute error-reject trade-off curve |
| roc | Receiver-operator curve (ROC) |
| shiftop | Shift operating point of classifier |
| testc | General error estimation routine for trained classifiers |
| testd | Error of dataset applied to given classifier |
| testauc | Estimate error as area under the ROC |
