Table 2. Comparison of different classifiers for identifying enhancers and their strength.

Layer	Classifier	Sn(%)	Sp (%)	Acc(%)	MCC
I	KNN(23)	59.43	89.82	74.63	0.52
	Naïve Bayes	75.27	76.42	75.84	0.52
	Random Forest	73.25	76.75	75.00	0.50
	Ensembles for Boosting	73.99	75.07	74.53	0.49
	GBDT	75.81	73.45	74.63	0.49
	libD3C	66.44	63.41	64.93	0.30
	SVM	71.97	82.82	77.39	0.55
II	KNN(45)	67.79	64.56	66.17	0.32
	Naïve Bayes	74.93	58.76	66.85	0.34
	Random Forest	66.85	59.16	63.01	0.26
	Ensembles for Boosting	69.68	61.05	65.36	0.31
	GBDT	60.51	68.19	64.35	0.29
	libD3C	55.53	54.18	54.85	0.10
	SVM	71.16	65.23	68.19	0.36