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. 2021 Nov 28;21(23):7943. doi: 10.3390/s21237943

Figure 5.

Figure 5

Confusion metrics for all classifiers for subject one (S01); Classes are labeled as ‘0’, ‘1’, ‘2’, ‘3’, ‘4’ and ‘5’, which stands for ‘Rest’, ‘Thumb’, ‘Index’, ‘Middle’, ‘Ring’, and ‘Little’ finger-tapping classes, respectively. (a) Quadratic discriminant analysis (QDA). (b) AdaBoost. (c) Support vector machine (SVM). (d) Decision tree (DT). (e) Artificial neural networks (ANN). (f) k-nearest neighbors (kNN). (g) Random forest (RF). (h) Extreme Gradient Boosting (XGBoost).