Win CPD algorithm (Mahalanobis metric)

Reported on 3 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series3 results

Change Point DetectiononTEP
NAB (LowFN)
28.05
best: 42.16 (OptEnsemble CPDE algorithm (Min+MinMax/Rank))
Change Point DetectiononTEP
NAB (lowFP)
27
best: 41 (OptEnsemble CPDE algorithm (Min+MinMax/Rank))
Change Point DetectiononTEP
NAB (standard)
27.79
best: 41.81 (OptEnsemble CPDE algorithm (Min+MinMax/Rank))