. 2020 Jun 1;9(6):1662. doi: 10.3390/jcm9061662

Table 3.

Validation Classification Results.

Classifier	Default Hyperparameters	AUC	Optimized Hyperparameters	AUC
SVM Linear	$C = 1$	0.70	$C = 94.07$	0.89
SVM RBF	$C = 1$ $; γ = 1 / 116$	0.66	$C = 13.41$ $; γ = 8.43$	0.77
SVM Sigmoid	$C = 1$ $; s = 1 / 116$ ; $c f = 0$	0.50	$C = 45.75; s = - 9.53$ $; c f = - 14.22$	0.83
RF	$n T r e e s = 500$	0.61	$n T r e e s = 3$	0.61
ANN	$n e u r o n s_{p e r l a y e r} = [1]$	0.59	$n e u r o n s_{p e r l a y e r} = [1; 3; 443; 2]$	0.61

$C$ : Cost; $γ$ : Gamma; $c f$ : Intercept Constant; $s$ : Slope. See Table S2 in the Supplementary Material for more details about the SVM kernel hyperparameters.