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Average AUC (standard deviation) and corresponding average training time per neural network (NN) architecture type for a subset of the data. The difference in training time between the ways of splitting the data is due to the slower convergence when splitting at the sample level.
| Subject Level | Sample Level | |||
|---|---|---|---|---|
| AUC | Time (h) | AUC | Time (h) | |
| CNN | 0.52 (0.07) | 6 | 0.74 (0.07) | 7 |
| LSTM | 0.61 (0.10) | 160 | 0.91 (0.06) | 180 |
| ConvLSTM | 0.60 (0.09) | 35 | 0.90 (0.05) | 40 |
