Table 12:
Validation accuracy for fully-connected neural network models with different number of layers, and different dimensions of hidden units. The dropout rate was set to 0.2 for all the models.
# of layers | Dim. of hidden units | Fold 1 | Fold 2 | Fold 3 | Fold 4 | Average |
---|---|---|---|---|---|---|
4 | 300 | 58.01 | 58.12 | 58.83 | 56.57 | 57.88 |
4 | 600 | 56.78 | 58.06 | 59.07 | 55.80 | 57.43 |
4 | 900 | 57.70 | 58.21 | 58.37 | 56.64 | 57.73 |
8 | 300 | 57.70 | 57.64 | 58.47 | 56.32 | 57.53 |
8 | 600 | 57.41 | 58.62 | 59.22 | 56.67 | 57.98 |
8 | 900 | 57.06 | 58.22 | 59.14 | 56.34 | 57.69 |
12 | 300 | 57.43 | 57.49 | 58.78 | 55.70 | 57.35 |
12 | 600 | 57.29 | 57.01 | 59.67 | 56.60 | 57.64 |
12 | 900 | 57.40 | 57.97 | 58.90 | 55.68 | 57.49 |