Table 2. Hyperparameters optimizations results.
| Markers | Upper limb type (three classes) | Participants group (two classes) | ||
|---|---|---|---|---|
| Hyperparameters | CNN metrices | Hyperparameters | CNN metrices | |
| FN | lr = 0.00017 | lr = 0.0011 | ||
| ep = 100 | AUC = 85.54% | ep = 224 | AUC = 94.53% | |
| fConv1 = 77 | Accuracy = 69.23% | fConv1 = 83 | Accuracy = 88.5% | |
| fConv2 = 10 | Precision = 20% | fConv2 = 100 | Precision = 88.5% | |
| dDrop1 = 0.25 | Recall = 65.38% | dDrop1 = 0.2484 | Recall = 88.5% | |
| outDense1 = 100 | outDense1 = 30 | |||
| LEP | lr = 0.00037 | lr = 0.00026 | ||
| ep = 100 | AUC = 89.53% | ep = 216 | AUC = 93.62% | |
| fConv1 = 20 | Accuracy = 80.77% | fConv1 = 51 | Accuracy = 92.6% | |
| fConv2 = 10 | Precision = 80.77% | fConv2 = 10 | Precision = 92.6% | |
| dDrop1 = 0.1931 | Recall = 80.77% | dDrop1 = 0.0638 | Recall = 92.6% | |
| outDense1 = 72 | outDense1 = 11 | |||
| MPH | lr = 0.00023 | lr = 0.00004 | ||
| ep = 100 | AUC = 96.18% | ep = 261 | AUC = 99.5% | |
| fConv1 = 100 | Accuracy = 87.50% | fConv1 = 87 | Accuracy = 99% | |
| fConv2 = 79 | Precision = 90.91% | fConv2 = 51 | Precision = 98% | |
| dDrop1 = 0.25 | Recall = 83.33% | dDrop1 = 0.1054 | Recall = 98% | |
| outDense1 = 44 | outDense1 = 19 | |||
| ACR | lr = 0.01 | lr = 0.0026 | ||
| ep = 300 | AUC = 83.98% | ep = 202 | AUC = 99.20% | |
| fConv1 = 12 | Accuracy = 58.33% | fConv1 = 50 | Accuracy = 96% | |
| fConv2 = 54 | Precision = 60.87% | fConv2 = 100 | Precision = 96% | |
| dDrop1 = 0.004 | Recall = 58.33% | dDrop1 = 0.2435 | Recall = 96% | |
| outDense1 = 10 | outDense1 = 26 | |||
| LEP, MPH | lr = 0.00006 | lr = 0.0064 | ||
| ep = 300 | AUC = 94.62% | ep = 300 | AUC = 99.5% | |
| fConv1 = 75 | Accuracy = 87.5% | fConv1 = 100 | Accuracy = 99% | |
| fConv2 = 26 | Precision = 89.47% | fConv2 = 10 | Precision = 98% | |
| dDrop1 = 0 | Recall = 70.83% | dDrop1 = 0.1797 | Recall = 98% | |
| outDense1 = 98 | outDense1 = 10 | |||
| FN, LEP, MPH | lr = 0.00012 | lr = 0.00003 | ||
| ep = 300 | AUC = 90% | ep = 300 | AUC = 98.4% | |
| fConv1 = 100 | Accuracy = 72% | fConv1 = 95 | Accuracy = 92% | |
| fConv2 = 10 | Precision = 75% | fConv2 = 10 | Precision = 92% | |
| dDrop1 = 0 | Recall = 72% | dDrop1 = 0.25 | Recall = 92% | |
| outDense1 = 10 | outDense1 = 100 | |||
| LEP, MPH, ACR | lr = 0.00005 | lr = 0.00017 | ||
| ep = 296 | AUC = 83.11% | ep = 164 | AUC = 89.41% | |
| fConv1 = 62 | Accuracy = 68% | fConv1 = 100 | Accuracy = 86.9% | |
| fConv2 = 87 | Precision = 68.11% | fConv2 = 78 | Precision = 86.9% | |
| dDrop1 = 0.0845 | Recall = 68.11% | dDrop1 = 0.0126 | Recall = 86.9% | |
| outDense1 = 72 | outDense1 = 85 | |||
| FN, LEP, MPH, ACR | lr = 0.00019 | lr = 0.000074 | ||
| ep = 300 | AUC = 96.33% | ep = 290 | AUC = 99.7% | |
| fConv1 = 10 | Accuracy = 77.27% | fConv1 = 22 | Accuracy = 99% | |
| fConv2 = 65 | Precision = 77.27% | fConv2 = 39 | Precision = 98.5% | |
| dDrop1 = 0.25 | Recall = 77.27% | dDrop1 = 0.2491 | Recall = 98.5% | |
| outDense1 = 100 | outDense1 = 99 | |||