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Table 3 Comparison of the performance of Decision Tree (DT) classifier without sampling using confidence parameter (Conf) equals 0.1, 0.25, 0.5, 0.75 and 1

From: Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project

  Conf = 0.1 Conf = 0.25 Conf = 0.5 Conf = 0.75 Conf = 1
Sensitivity 61.52% 54.43% 43.48% 36.11% 36.11%
Specificity 90.09% 90.51% 90.91% 90.95% 90.95%
Precision 18.21% 22.80% 28.16% 30.17% 30.17%
F-score 28.10% 32.14% 34.18% 32.87% 32.87%
RMSE 0.3 0.3 0.33 0.35 0.35
AUC 0.72 0.73 0.69 0.65 0.65