Table 2.
The classification accuracy of different datasets using RNN series network.
Domain | Dataset | Train | Test | Length | LSTM | GRU | BiLSTM |
---|---|---|---|---|---|---|---|
Motion | GunPoint | 50 | 150 | 150 | 97.33 | 96 | 97.33 |
Sensor | Lightning7 | 70 | 73 | 319 | 58.9 | 72.6 | 60.27 |
Trace | 100 | 100 | 275 | 52 | 100 | 71 | |
Image | OSULeaf | 200 | 242 | 427 | 57.44 | 59.92 | 59.92 |
Simulated | SyntheticControl | 300 | 300 | 60 | 98 | 99 | 98 |
CBF | 30 | 900 | 128 | 98.78 | 99.11 | 98 | |
UMD | 36 | 144 | 150 | 79.86 | 98.61 | 100 |