Table 1.

Performance results of distinguishing adaptor proteins with different methods

Method	Cross Validation					Independent Test
	Sensitivity	Specificity	Accuracy	AUC	MCC	Sensitivity	Specificity	Accuracy	AUC	MCC
k-NN	0.635	0.750	0.738	0.770	0.254	0.671	0.751	0.743	0.791	0.280
RF	0.185	0.968	0.890	0.837	0.214	0.290	0.923	0.860	0.838	0.216
SVM	0.397	0.934	0.881	0.818	0.332	0.426	0.932	0.881	0.806	0.353
CNN	0.532	0.875	0.841	0.774	0.328	0.548	0.873	0.841	0.783	0.339
RNN	0.812	0.751	0.757	0.853	0.373	0.856	0.798	0.804	0.893	0.446

(k-NN: k=10; RF: num_stimators=500; SVM: c=8.0, g=0.5; CNN: 128 filters; RNN: 512 filters)