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Table 2 Best classification results using a Logistic Model Tree

From: Predicting functional performance via classification of lower extremity strength in older adults with exergame-collected data

Algorithm: Logistic Model Tree, accuracy 91.358% Correctly classified Incorrectly classified TP rate FP rate Precision Recall F MCC ROC area PRC area
Not fit 29 (TP) 5 (FN) 0.853 0.043 0.935 0.853 0.892 0.823 0.940 0.946
Fit 45 (TN) 2 (FP) 0.957 0.147 0.900 0.957 0.928 0.823 0.940 0.930
Weighted average 74 7 0.914 0.103 0.915 0.914 0.913 0.823 0.940 0.936
  1. TP true positive, FP false positive, F F-measure, MCC Matthews correlation coefficient, ROC receiver-operating characteristic curve, PRC precision-recall curve