Table 4.

Mean performance and standard deviations of KNE, KNU and DESKNN under different k_max values with 60-40 division.

Metrics	Methods	NON	kmax =2	kmax =3	kmax =4	kmax =5
Accuracy	KNE	0.9628±0.0096	0.9825±0.0097	0.9964±0.0030	0.9946±0.0056	0.9976±0.0021
	KNU	0.9484±0.0080	0.9663±0.0093	0.9850±0.0085	0.9880±0.0049	0.9904±0.0057
	DES-KNN	0.9658±0.0127	0.9669±0.0065	0.9916±0.0058	0.9922±0.0050	0.9964±0.0037
F1	KNE	0.9707±0.0084	0.9858±0.0079	0.9971±0.0025	0.9956±0.0045	0.9981±0.0019
	KNU	0.9593±0.0072	0.9724±0.0077	0.9880±0.0068	0.9902±0.0040	0.9923±0.0059
	DES-KNN	0.9723±0.0105	0.9726±0.0055	0.9933±0.0046	0.9937±0.0041	0.9971±0.0034
G-mean	KNE	0.9522±0.0092	0.9792±0.0112	0.9951±0.0038	0.9938±0.0063	0.9966±0.0025
	KNU	0.9369±0.0074	0.9622±0.0097	0.9861±0.0080	0.9890±0.0045	0.9923±0.0058
	DES-KNN	0.9653±0.0123	0.9667±0.0078	0.9889±0.0080	0.9914±0.0051	0.9961±0.0038
AUC	KNE	0.9531±0.0090	0.9794±0.0111	0.9951±0.0038	0.9938±0.0063	0.9966±0.0025
	KNU	0.9379±0.0071	0.9625±0.0096	0.9861±0.0080	0.9890±0.0045	0.9924±0.0057
	DES-KNN	0.9654±0.0123	0.9668±0.0077	0.9889±0.0079	0.9914±0.0051	0.9961±0.0037