| PRTools contents |
TESTAUC
E = TESTAUC(A*W)
E = TESTAUC(A,W)
E = A*W*TESTAUC
| Input | |
| A | Dataset to be classified |
| W | Classifier |
| Output | |
| E | Error, Area under the ROC |
The area under the ROC is computed for the datset A w.r.t. the classifer W. The estimator is based on a rank analysis of the classifier outcomes. Ties are broken by a two-way sorting and averaging.
The multiclass situation is solved by averaging over all outcomes of the one-against-rest ROCs.
Note that E is an error and not a performance measure like the AUC often used in literature.
datasets, mappings, testc, roc,
| PRTools contents |