Table 1.
Validation and testing accuracy results for the five classification methods that used time domain features of normalized segmented acceleration and angular velocity from the data from the seven sensor positions.
| Seven Sensor Placements (Time Domain Features) | |||||
|---|---|---|---|---|---|
| Model Name | 5-Fold Cross-Validation | Testing Accuracy (%) | Average Precision | Average Recall | |
| Mean Accuracy (%) | Standard Deviation | ||||
| Random Forest | 81.08425 | 10.78727 | 82.6087 | 0.83 | 0.83 |
| Multilayer Perceptron | 78.41758 | 11.86194 | 84.78261 | 0.86 | 0.85 |
| Naïve Bayes | 86.90842 | 5.415183 | 84.78261 | 0.85 | 0.85 |
| Adaboost | 83.84615 | 10.60653 | 76.08696 | 0.81 | 0.80 |
| Decision Tree | 79.64103 | 10.87058 | 76.08696 | 0.76 | 0.76 |