Table 2.

Performances of LR and RF (top: accuracy, middle: AUC, bottom: Brier score): (top: accuracy, middle: AUC, bottom: Brier score): mean performance μ, standard deviation σ and confidence interval for the mean (estimated via the bootstrap BCa method [38]) on the 243 datasets

Acc	μ	σ	BCa confidence interval
Logistic regression	0.826	0.135	[0.808, 0.842]
Random forest	0.854	0.134	[0.837, 0.870]
Difference	0.029	0.067	[0.021, 0.038]
Auc
Logistic regression	0.826	0.149	[0.807, 0.844]
Random forest	0.867	0.147	[0.847, 0.884]
Difference	0.041	0.088	[0.031, 0.054]
Brier
Logistic regression	0.129	0.091	[0.117, 0.140]
Random forest	0.102	0.080	[0.092, 0.112]
Difference	-0.0269	0.054	[-0.034, -0.021]