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Fig. 3 | Journal of NeuroEngineering and Rehabilitation

Fig. 3

From: Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach

Fig. 3

Confusion matrices for different feature selections and classifiers for Criteria I. It displays the number of true negatives (TN) at the left upper corner, true positives (TP) at the right lower corner, false positives (FP) at the right upper corner, and false negatives (FN) at the right lower corner, according to the model's predictions (ABC: Artificial Bee Colony; HHO: Harris Hawk Optimization; SMA: Slime Mould Algorithm)

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