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Parameters and performance of the model.
| Input layer neurons | 7 |
| Hidden layer neurons | 7 |
| Output layer neurons | 2 |
| Requested samples per class | 10,000 |
| Final learning rate | 0.0003 |
| Momentum factor | 0.5 |
| Sigmoid constant | 1 |
| Acceptable RMS | 0.01 |
| Iterations | 10,000 |
| Training RMS | 0.3242 |
| Testing RMS | 0.3275 |
| Accuracy rate | 84.98% |
| Skill measure | +0.6997 |
