HyperAI超神経

プラットフォーム

Unsupervised Anomaly Detection On Vehicle

評価指標

AUC

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

		Paper Title
SOM	65.43	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Isolation Forest	59.42	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Latent Outlier Exposure	58.59	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
NeuTraL-AD	57.03	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
RSRAE	55.38	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
SOM-DAGMM	53.82	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Local Outlier Factor	52.86	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
One Class Support Vector Machines	51.68	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
DAGMM	51.22	Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings

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Unsupervised Anomaly Detection On Vehicle | SOTA | HyperAI超神経