Table 12. Accuracy statistics on the validation set comparing the performance of different standard kNN implementations with the guided-kNN approach.

Statistics	Guided-kNN	WEKA 3.7 IBk (KNIME)	k-nearest neighbor (KNIME)	EnaloskNN (KNIME)	KNeighborsClassifier (Python)
MCC	0.602	0.542	0.519	0.546	0.519
Accuracy	0.807	0.780	0.769	0.781	0.769
Sensitivity/recall	0.828	0.825	0.815	0.825	0.815
Specificity	0.777	0.714	0.701	0.719	0.701
Precision	0.843	0.807	0.798	0.810	0.798