Table 2.
Model | LR | RT | SVM | KNN | XGBoost | Inverted Pendulum |
---|---|---|---|---|---|---|
RMSE [cm] | 6.46 ± 0.20 | 7.43 ± 0.23 | 6.31 ± 0.30 | 7.07 ± 0.21 | 6.08 ± 0.15 | 20.60 ± 0.77 |
ICC (2,1) | 0.89 ± 0.01 | 0.85 ± 0.01 | 0.89 ± 0.01 | 0.86 ± 0.01 | 0.91 ± 0.003 | 0.54 ± 0.24 |
The test set refers to Table 1 top panel. Values are presented as mean ± standard deviation.
RMSE root mean square error, LR linear regression, RT regression tree, SVM support vector machine, KNN K-nearest neighbors, XGBoost extreme gradient boosting, ICC intraclass correlation coefficient.