TABLE 5. Classification Results of Neural Networks and Selected Motor Indicators.
MLP (2 neurons) | RBFN (3 neurons) | |||||
---|---|---|---|---|---|---|
Motor indicator | Training Accuracy | Test Accuracy | Overall Accuracy | Training Accuracy | Test Accuracy | Overall Accuracy |
Training MAPE | Test MAPE | Overall MAPE | Training MAPE | Test MAPE | Overall MAPE | |
Pretest - posttest (7) | 83.13% | 60% | 78.5% | 81.25% | 60% | 77% |
16.68% | 24.06% | 18.1% | 14.78% | 35.49% | 18.92% | |
Posttest - pretest (7) | 83.13% | 52.5% | 77% | 84.38% | 60% | 79.5% |
11.18% | 28.84% | 14.71% | 8.09% | 33.66% | 13.2% | |
Clustering (6) | 78.75% | 60% | 75% | 78.12% | 55% | 73.5% |
19.94% | 27.29% | 21.41% | 17.11% | 35.98% | 20.88% |