Multivariate Time Series Classification on Baydogan 16 datasets nx < 300 (test)
2.2Mean Rank (NLPP)GP-SIG
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GP-SIGnz=500, M=4, lags (p)=12019.06 | 2.2 | 2.8 | |
| GP-SIG-LSTMnz=500, M=4, backbone=LSTM2019.06 | 2.8 | 3 | |
| GP-SIG-GRUnz=500, M=4, backbone=GRU2019.06 | 2.9 | 3.1 | |
| GP-GRUnz=500, backbone=GRU2019.06 | 4 | 4.25 | |
| GP-KCONV1Dnz=500, window size (w)=102019.06 | 4.4 | 3.6 | |
| GP-LSTMnz=500, backbone=LSTM2019.06 | 4.7 | 4.25 |