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MSL

Benchmarks

Task NameDataset NameSOTA ResultTrend
Anomaly DetectionMSL
Precision96.24
95
Anomaly DetectionMSL
F194.08
46
Multivariate Time Series Anomaly DetectionMSL
Precision93.69
39
Time Series Anomaly DetectionMSL
F1 Score95.91
35
Anomaly DetectionMSL
F1 Score94.08
33
Time Series Anomaly DetectionMSL
VUS-ROC0.8157
32
Time-Series Anomaly DetectionMSL (test)
F1-@K22.13
24
Anomaly DetectionMSL
Precision85.51
21
Anomaly DetectionMSL
Precision92.25
20
Anomaly DetectionMSL (test)
F1 Score85.06
20
Anomaly DetectionMSL
F1 Score86.52
17
Time Series Anomaly DetectionMSL
AUC-ROC76.2
16
Anomaly DetectionMSL 44 (test)
F1 Score85.03
16
Anomaly detectionMSL (test)
Precision89.66
16
Anomaly DetectionMSL
F1-score85.03
14
Anomaly DetectionMSL
Training Time (s)3.27
11
Anomaly DetectionMSL
Precision89.54
10
Time Series Anomaly DetectionMSL
Affine Precision68.7
9
Anomaly DetectionMSL
F1PA0.9152
9
Anomaly DetectionMSL Time Series
F1 (Point Adjustment)86.52
9
Multivariate Time Series Anomaly DetectionMSL 51d
Precision92.24
8
Semantic SegmentationMSL labeled ratio (1/4)
mIoU65.9
8
Semantic SegmentationMSL labeled ratio (1/8)
mIoU60.9
8
Anomaly DetectionMSL
PA-F188.27
6
Importance ScoringMSL 50% BW 20K subsample
F1 Score92.1
3
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