Anomaly Detection On Vehicle Claims
评估指标
AUC
评测结果
各个模型在此基准测试上的表现结果
| 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 |
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