Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements
Fig 5
Cross-validated R2 of the best 8-feature models derived using three different approaches for feature selection and model building: 1) features selected by artificial ants with neural networks, model derived with neural networks (dark blue); 2) features selected by artificial ants with neural networks, model derived with multi-linear regression (light blue); and 3) features selected by PCA, model derived with multi-linear regression (red).
Every model was cross-validated using the same 10-fold cross-validation procedure described in the Methods session.