Table 3.

Confusion matrix and evaluation criteria for the random forest classifier (RFC) model of the S-Data-model.

Test for 20% of Simulated Data
	Precision	Recall	f1-Score	Support	Accuracy	Matrix of Confusion
	Model					+	−	Aa
+	1.000	0.989	0.995	93	0.952	92	1	0
−	0.989	1.000	0.994	87		0	87	0
Aa	0,873	1.000	0.932	117		0	0	117
Test for W-CP
+	0.915	0.993	0.953	152	0,960	151	0	0
−	0.984	0.996	0.990	255		1	254	0
Aa	1.000	0.859	0.924	142		13	4	122