Table 3. Performance of our method on different resampled data sets for the kinases PKA, PKC, MAPK, CK2.

Name of the Kinase	Number of resampled dataset	Precision	Recall	Accuracy(%)	F-measure
PKA	B = 10	0.8012	0.8958	96.73	0.8459
	B = 20	0.7981	0.8784	96.56	0.8363
	B = 30	0.7969	0.8993	96.70	0.8450
	B = 40	0.8012	0.9097	96.83	0.8520
	B = 50	0.8018	0.8993	96.76	0.8477
PKC	B = 10	0.8483	0.8950	98.04	0.8710
	B = 20	0.8495	0.8750	97.93	0.8620
	B = 30	0.8599	0.8900	98.11	0.8746
	B = 40	0.8529	0.8700	97.93	0.8613
	B = 50	0.8599	0.8900	98.11	0.8746
MAPK	B = 10	0.7889	0.9230	96.77	0.8507
	B = 20	0.7800	0.9190	96.61	0.8438
	B = 30	0.7876	0.9311	96.81	0.8534
	B = 40	0.7857	0.9352	96.81	0.8539
	B = 50	0.7842	0.9271	96.73	0.8497
CK2	B = 10	0.8076	0.8983	96.86	0.8506
	B = 20	0.8067	0.8930	96.80	0.8477
	B = 30	0.8019	0.8877	96.70	0.8426
	B = 40	0.8078	0.8770	96.70	0.8410
	B = 50	0.8086	0.9037	96.91	0.8535

Here we have varied the size of resampled data sets from 10 to 50. The performance is measured in terms of precision, recall, accuracy and F-measure.