Misclassification Detection on SMS Non-Spam class
0.9369AUROCUQ-D
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| UQ-DClassifier=LogReg2026.02 | 0.9369 | 22.47 | |
| UQ-DClassifier=SVM2026.02 | 0.9028 | 33.56 | |
| X-MAPClassifier=LogReg, Topic Representation=Original2026.02 | 0.8807 | 35.88 | |
| X-MAPClassifier=LogReg, Topic Representation=Vacuity2026.02 | 0.8802 | 35.74 | |
| X-MAPClassifier=LogReg, Topic Representation=Dissonance2026.02 | 0.8711 | 39.71 | |
| UQ-DClassifier=Naïve Bayes2026.02 | 0.8638 | 48.42 | |
| X-MAPClassifier=LogReg, Topic Representation=D-alpha2026.02 | 0.8536 | 41.3 | |
| X-MAPClassifier=LogReg, Topic Representation=Aleatory2026.02 | 0.8253 | 61.86 | |
| X-MAPClassifier=LogReg, Topic Representation=D-beta2026.02 | 0.8041 | 55.15 | |
| X-MAPClassifier=LogReg, Topic Representation=ODIN2026.02 | 0.8041 | 55.15 | |
| X-MAPClassifier=SVM, Topic Representation=Dissonance2026.02 | 0.8027 | 73.51 | |
| X-MAPClassifier=SVM, Topic Representation=Original2026.02 | 0.789 | 85.12 | |
| X-MAPClassifier=SVM, Topic Representation=Vacuity2026.02 | 0.7741 | 85.31 | |
| X-MAPClassifier=SVM, Topic Representation=D-alpha2026.02 | 0.7538 | 71.22 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=Original2026.02 | 0.7277 | 90.55 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=Aleatory2026.02 | 0.6332 | 80.84 | |
| X-MAPClassifier=SVM, Topic Representation=D-beta2026.02 | 0.6323 | 85.89 | |
| X-MAPClassifier=SVM, Topic Representation=ODIN2026.02 | 0.6323 | 85.89 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=Dissonance2026.02 | 0.6287 | 92.71 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=D-alpha2026.02 | 0.6105 | 95.52 | |
| X-MAPClassifier=SVM, Topic Representation=Aleatory2026.02 | 0.5722 | 95.45 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=D-beta2026.02 | 0.5531 | 98.38 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=ODIN2026.02 | 0.5531 | 98.38 | |
| X-MAPClassifier=LogReg, Topic Representation=REL-U2026.02 | 0.5252 | 93.97 | |
| X-MAPClassifier=Naïve Bayes, Topic Representation=Vacuity2026.02 | 0.5249 | 100 | |
| X-MAPClassifier=SVM, Topic Representation=REL-U2026.02 | 0.4008 | 99.53 |