notesum.ai

Published at November 12

Disentangling Tabular Data towards Better One-Class Anomaly Detection

cs.LG

cs.AI

Released Date: November 12, 2024

Authors: Jianan Ye¹, Zhaorui Tan¹, Yijie Hu¹, Xi Yang¹, Guangliang Cheng², Kaizhu Huang³

Aff.: ¹Xi'an Jiaotong-Liverpool University; ²University of Liverpool; ³Duke Kunshan University

Arxiv: http://arxiv.org/abs/2411.07574v1

Dataset	IForest	LOF	OCSVM	ECOD	DAGMM	DeepSVDD	GOAD	NeuTraLAD	ICL	SLAD	MCM	Ours
Arrhythmia	50.9	52.7	53.3	44.6	46.6	64.5^±4.1	63.2^±2.3	60.9^±4.5	65.4^±0.7	63.7^±1.5	58.3^±0.3	63.6^±0.3
Breastw	94.4	99.2	99.3	95.2	75.8	97.0^±0.3	99.4^±0.1	85.3^±2.4	98.3^±0.5	98.9^±0.2	99.7^±0.0	99.8^±0.0
Cardio	70.1	83.6	86.1	36.3	30.8	67.4^±5.4	31.4^±4.3	63.5^±2.5	59.5^±7.9	71.3^±1.9	78.5^±0.8	82.7^±2.8
Census	13.5	23.4	22.7	17.7	10.6	18.8^±1.6	12.6^±0.6	13.6^±0.5	18.1^±0.3	13.8^±0.1	21.3^±0.8	39.7^±0.0
Campaign	46.0	44.5	47.4	47.0	24.7	33.0^±3.3	47.1^±0.3	44.4^±2.7	43.5^±0.5	48.6^±0.0	59.0^±1.8	46.9^±1.0
Cardiot.	60.3	57.3	66.1	69.6	44.4	47.6^±5.5	68.6^±0.6	66.3^±0.9	65.5^±3.2	71.3^±3.8	69.7^±1.4	75.1^±0.9
Fraud	69.3	40.4	34.9	40.6	0.9	73.5^±1.8	54.9^±0.7	58.2^±0.1	67.5^±0.9	54.3^±4.2	50.5^±2.2	60.5^±1.6
Glass	9.5	9.2	8.9	11.1	10.1	29.3^±5.1	23.1^±3.3	24.0^±2.9	30.5^±2.0	22.2^±0.6	15.3^±0.6	58.9^±6.0
Ionosphere	97.6	95.9	89.6	97.1	70.4	97.9^±0.4	93.0^±1.4	98.6^±0.4	96.9^±0.0	98.6^±0.3	97.7^±0.1	98.3^±0.2
Mammo.	33.3	40.6	41.7	53.8	11.4	47.1^±2.7	22.7^±0.7	8.3^±0.5	19.5^±3.6	17.5^±3.9	47.9^±6.4	43.9^±1.5
NSL-KDD	75.3	74.5	75.2	63.5	75.0	89.7^±4.3	85.7^±0.3	88.4^±2.4	60.4^±2.4	91.2^±0.5	90.2^±0.6	88.6^±0.8
Optdigits	15.7	43.6	6.9	6.6	5.3	34.4^±9.5	8.1^±0.6	31.3^±14.9	85.3^±8.0	33.9^±2.9	80.2^±8.1	86.8^±4.8
Pima	66.6	69.7	70.0	58.7	59.5	70.2^±1.2	63.7^±1.3	56.4^±1.4	60.0^±1.2	61.7^±0.7	69.4^±0.9	73.7^±2.7
Pendigits	51.3	78.5	51.7	41.4	4.4	49.6^±8.1	50.0^±2.2	72.2^±6.8	52.4^±5.1	81.0^±4.7	74.2^±10.0	89.5^±6.6
Satellite	85.8	80.8	77.7	83.3	68.6	80.7^±1.2	84.7^±0.1	87.3^±0.1	88.2^±0.5	87.5^±0.0	83.6^±0.0	89.1^±0.0
Satimage-2	88.4	96.9	91.9	77.7	11.4	46.6^±35.1	96.3^±0.0	97.3^±0.3	96.8^±1.0	97.4^±0.3	97.8^±0.2	98.3^±0.1
Shuttle	91.7	96.0	94.8	98.1	48.7	97.6^±0.6	91.6^±0.2	99.5^±0.2	97.3^±0.6	92.7^±0.5	97.8^±0.5	99.5^±0.2
Thyroid	60.5	78.9	81.3	68.0	10.9	51.6^±2.4	49.2^±5.1	80.9^±0.3	83.6^±3.0	85.5^±1.6	83.0^±0.5	89.4^±0.7
Wbc	85.7	84.1	83.9	72.1	29.5	72.9^±2.4	62.2^±7.9	29.1^±4.3	75.5^±5.5	46.3^±7.7	86.1^±1.2	91.0^±0.5
Wine	24.5	12.5	14.2	35.7	49.0	55.0^±11.8	93.4^±1.6	85.7^±11.6	93.0^±4.6	99.6^±0.4	92.2^±0.4	99.9^±0.0
Average	59.5	63.1	59.9	55.9	34.4	61.2^±5.3	60.0^±1.6	62.5^±2.9	67.8^±2.5	66.8^±1.7	72.6^±1.8	78.7^±1.5
Mean rank	7.6	6.8	7.0	8.1	11.2	6.2	7.3	6.6	5.9	4.8	4.0	2.0