Multivariate Time Series Classification on WAFER (test)
0.997AccuracyMUSE
Evaluation Results
| Method | Links | |
|---|---|---|
| MUSE2020.06 | 0.997 | |
| gRSF2020.06 | 0.992 | |
| MLSTMFCN2020.06 | 0.99 | |
| FCN128-LS2T64Backbone=FCN, Backbone Filter size=128, Rank=642020.06 | 0.99 | |
| RESNETBackbone=ResNet2020.06 | 0.989 | |
| FCN64-LS2T64Backbone=FCN, Backbone Filter size=64, Rank=642020.06 | 0.988 | |
| FCN128Backbone=FCN, Filter size=1282020.06 | 0.987 | |
| LS2T64Rank=642020.06 | 0.983 | |
| DTW2020.06 | 0.974 | |
| ARKERNEL2020.06 | 0.968 | |
| SMTS2020.06 | 0.965 | |
| LPS2020.06 | 0.962 | |
| mvARF2020.06 | 0.931 |