Time Series Classification on ECG (test)
88AccuracyGRSF
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GRSF2019.06 | 88 | — | |
| MUSE2019.06 | 88 | — | |
| MLSTMFCN2019.06 | 87 | — | |
| GP-SIG2019.06 | 84.8 | — | |
| GP-SIG-GRU2019.06 | 83.2 | — | |
| LPS2019.06 | 82 | — | |
| ARKernel2019.06 | 82 | — | |
| SMTS2019.06 | 81.8 | — | |
| GP-SIG-LSTM2019.06 | 81.6 | — | |
| DTW2019.06 | 79 | — | |
| mVARF2019.06 | 78.5 | — | |
| GP-LSTM2019.06 | 78.2 | — | |
| GP-KCONV1D2019.06 | 76 | — | |
| GP-GRU2019.06 | 73.4 | — | |
| GP-GRUH (hidden units)=8, D (signature depth)=12019.06 | — | 0.601 | |
| GP-KCONV1D2019.06 | — | 0.543 | |
| GP-LSTMH (hidden units)=128, D (signature depth)=02019.06 | — | 0.496 | |
| GP-SIG2019.06 | — | 0.356 | |
| GP-SIG-GRUH (hidden units)=128, D (signature depth)=12019.06 | — | 0.431 | |
| GP-SIG-LSTMH (hidden units)=128, D (signature depth)=02019.06 | — | 0.402 |