Fig. 6From: The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after strokeMean and standard deviation of K-fold (K = 10) cross-validation of feature importance based on individual parameters (Var, Cont/exp, Shift, and AE) obtained from LR, DT, RF, RFT, and SVM models. Due to the complex structure of Deep Neural Network (DNN) model, we could not plot the feature importance using DNN modelBack to article page