Offline cross-validated prediction accuracies for the regression models. (A) Overall R2 value when all DOF complexities of prompt data (including 1-, 2-, and 3-DOF prompts) are predicted. Using all-motion training improved overall prediction accuracy compared to motion-specific training (p < 0.001). (B) Results broken down by DOF complexity of the prompt to be predicted. The training data complexity also significantly affected prediction accuracy for different prompt complexities (p < 0.001). 1-DOF prompts were predicted best by systems trained with only 1-DOF data, whereas 3-DOF prompts were predicted better by systems trained with 1-, 2-, and 3-DOF training data.