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Accuracy, Precision, Recall and F-measure for each classifier in the case of the Frenkel-Toledo et al. sub-dataset.
| Performances | Supervised | Unsupervised | |||||
|---|---|---|---|---|---|---|---|
| K-NN | CART | RF | NB | SVM | K-Means | GMM | |
| Accuracy | 81.25% | 79.69% | 82.81% | 79.69% | 82.81% | 57.19% | 65.31% |
| Precision | 81.43% | 79.56% | 83.10% | 79.69% | 82.81% | 61.07% | 64.95% |
| Recall | 81.67% | 79.36% | 82.22% | 79.95% | 83.10% | 59.23% | 64.62% |
| F-measure | 81.55% | 79.46% | 82.65% | 79.82% | 82.96% | 60.14% | 64.78% |
