Table 3. The confusion matrix outcomes for every machine learning classifier on both the validation and test sets.

	CBa		RFb Predictedd)		SVMc
	+	–	+	–	+	–
Training set
Actual
Positive (+)	249	36	264	21	195	90
Negative (–)	27	242	28	241	64	205
Test set
Actual
Positive (+)	48	13	50	11	46	15
Negative (–)	14	64	23	55	17	61

^aCB: CatBoost.

^bRF: random forests.

^cSVM: support vector machine.