Fig. 4From: Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic reviewAlgorithms (on the left) and validation approaches (on the right) among the best performing models (N = 31). FOS fast orthogonal search, LogR Logistic Regression, LR Linear Regression, SVM Support Vector Machines, kNN k-Nearest Neighbours, RF Random Forest, NN Neural Network, PCI Parallel Cascade IdentificationBack to article page