Figure 4
From: Classification of human walking context using a single-point accelerometer
Feature importance using feature permutation—Decrease in model accuracy for each shuffled feature. The error bars represent standard deviation. A decrease in accuracy indicates that, when the given feature was perturbed (e.g., randomly shuffling its values), the performance of the model degraded. This means that this feature contains meaningful information on which the model relies to make its predictions.
