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Table 3.
Classification performance of the neural network models.
| The number of hidden layers | Best Mc | Avg. of Mc | SEM (2) | Model size |
|---|---|---|---|---|
| and neurons in each layer (1) | ||||
| 32 | 0.8878 | 0.8848 | 3.9 × 10−4 | 9 KB |
| 64 | 0.8926 | 0.8891 | 3.1 × 10−4 | 14 KB |
| 128 | 0.8940 | 0.8925 | 1.9 × 10−4 | 24 KB |
| 256 | 0.8957 | 0.8929 | 2.1 × 10−4 | 44 KB |
| 32 → 64 | 0.9005 | 0.8970 | 2.2 × 10−4 | 21 KB |
| 64 → 128 | 0.9017 | 0.8999 | 1.9 × 10−4 | 55 KB |
| 128 → 256 | 0.9027 | 0.9002 | 2.4 × 10−4 | 171 KB |
| 256 → 128 | 0.8996 | 0.8934 | 1.6 × 10−4 | 169 KB |
| 32 → 64 → 128 | 0.9027 | 0.9004 | 1.9 × 10−4 | 63 KB |
| 64 → 128 → 256 | 0.9043 | 0.9015 | 2.2 × 10−4 | 202 KB |
| 128 → 256 → 512 | 0.9031 | 0.9008 | 2.2 × 10−4 | 726 KB |
| 256 → 512 → 1024 | 0.9018 | 0.9002 | 1.5 × 10−4 | 3 MB |
| 512 → 1024 → 2048 | 0.9032 | 0.9001 | 2.4 × 10−4 | 11 MB |
Notes.
(1)
The integer values indicate the number of neurons in each hidden layer. For instance, “32 → 64” means that there are two hidden layers, which have 32 and 64 neurons.
(2)
The n in Eq. (11) is 30.
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