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Anomaly Detection On Vehicle Claims
Metriken
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| 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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