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. Author manuscript; available in PMC: 2020 May 13.
Published in final edited form as: Neurorehabil Neural Repair. 2020 Mar 20;34(5):428–439. doi: 10.1177/1545968320909796

Figure 3. The importance of variables extracted from the methods using the clinical dataset.

Figure 3.

Importance of the clinical variables only (demographics, clinical and neurophysiological measures) for all five machine learning methods. (Elastic-Net (EN) = green, Random Forest (RF) = yellow, Artificial Neural Network (ANN) = purple, Support Vector Machines (SVM) = blue and Classification And Regression Trees (CART) = pink). For visualization purposes, the weights of the variables’ importance are rescaled to be relative to pre-intervention UE-FMA.