Table 3 Prediction accuracy, sensitivity, and specificity on the test set for each prediction time step obtained using a neural network with eight neurons that was trained with the full feature set
From: Predicting reactive stepping in response to perturbations by using a classification approach
| Prediction time step | |||||||
|---|---|---|---|---|---|---|---|
| t SLU-2 | t SLU-1 | SLU | t TO-3 | t TO-2 | t TO-1 | TO | |
| Accuracy | 0.78 | 0.81 | 0.91 | 0.91 | 0.98 | 0.99 | 0.99 |
| Sensitivity | 0.55 | 0.62 | 0.79 | 0.79 | 0.97 | 0.97 | 0.97 |
| Specificity | 0.90 | 0.90 | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 |