Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings

Benchmark Model Rank Results
unsupervised-anomaly-detection-on-vehicleSOM#1AUC: 65.43
unsupervised-anomaly-detection-on-vehicleIsolation Forest#2AUC: 59.42
unsupervised-anomaly-detection-on-vehicleLatent Outlier Exposure#3AUC: 58.59
unsupervised-anomaly-detection-on-vehicleNeuTraL-AD#4AUC: 57.03
unsupervised-anomaly-detection-on-vehicleRSRAE#5AUC: 55.38
unsupervised-anomaly-detection-on-vehicleSOM-DAGMM#6AUC: 53.82
unsupervised-anomaly-detection-on-vehicleLocal Outlier Factor#7AUC: 52.86
unsupervised-anomaly-detection-on-vehicleOne Class Support Vector Machines#8AUC: 51.68
unsupervised-anomaly-detection-on-vehicleDAGMM#9AUC: 51.22