Anomaly Detection On Vehicle Claims
Metrics
AUC
Results
Performance results of various models on this benchmark
Model Name | AUC | Paper Title | Repository |
|---|---|---|---|
| Random Forest | 98.65 | Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings | |
| Gradient Boosting | 95.88 | Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings |
0 of 2 row(s) selected.