Unsupervised Anomaly Detection on Vehicle Claims

Metric: AUC (higher is better)

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#	Model↕	AUC▼	Extra Data	Paper	Date↕	Code
1	SOM	65.43	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
2	Isolation Forest	59.42	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
3	Latent Outlier Exposure	58.59	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
4	NeuTraL-AD	57.03	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
5	RSRAE	55.38	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
6	SOM-DAGMM	53.82	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
7	Local Outlier Factor	52.86	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
8	One Class Support Vector Machines	51.68	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code
9	DAGMM	51.22	No	Unsupervised Anomaly Detection for Auditing Data...	2022-10-25	Code

#1SOMSOTA
65.43
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#2Isolation Forest
59.42
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#3Latent Outlier Exposure
58.59
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#4NeuTraL-AD
57.03
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#5RSRAE
55.38
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#6SOM-DAGMM
53.82
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#7Local Outlier Factor
52.86
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#8One Class Support Vector Machines
51.68
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code
#9DAGMM
51.22
AUC· 2022-10-25
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings Code