Table 3.

Classification results of the logistic regression model with three features for training data and independent test data, calculated as means of 100 repetitions (100 cycles). Values in brackets: 95% confidence interval.

	Training data	Test data
AUC	0.901 [0.879, 0.926]	0.900 [0.786, 0.976]
Accuracy	0.875 [0.856, 0.896]	0.881 [0.778, 0.963]
Kappa	0.629 [0.562, 0.692]	0.644 [0.348, 0.899]
Sensitivity	0.675 [0.600, 0.760]	0.692 [0.333, 1.000]
Specificity	0.933 [0.919, 0.953]	0.936 [0.857, 1.000]