Skip to main content

Table 2 Comparison of the performance of Decision Tree (DT) classifier with 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 50.52% 55.71% 59.33% 59.95% 59.12%
Specificity 94.05% 64.97% 95.56% 96.05% 95.74%
Precision 55.69% 61.87% 67.08% 70.91% 68.52%
F-score 52.98% 58.63% 62.97% 64.97% 63.48%
RMSE 0.31 0.29 0.28 0.27 0.28
AUC 0.83 0.84 0.87 0.88 0.87