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MSL

Benchmarks

Task NameDataset NameSOTA ResultTrend
Anomaly DetectionMSL
Precision87.5
39
Time Series Anomaly DetectionMSL
VUS-ROC0.8157
32
Anomaly DetectionMSL
F1 Score94.08
27
Time-Series Anomaly DetectionMSL (test)
F1-@K22.13
24
Multivariate Time Series Anomaly DetectionMSL
Precision92.07
24
Anomaly DetectionMSL
F194.08
23
Anomaly DetectionMSL
Precision85.51
21
Anomaly DetectionMSL
Precision92.25
20
Time Series Anomaly DetectionMSL
Precision93.08
19
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
Time Series Anomaly DetectionMSL
Affine Precision68.7
9
Anomaly DetectionMSL
F1PA0.9152
9
Anomaly DetectionMSL
F1 Score86.52
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
Proactive Anomaly DetectionMSL True Labels (test)
F1@K33
3
Anomaly DetectionMSL C0
Accuracy83.77
1
Anomaly DetectionMSL (test)
F1 Score-
0
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