Computational Prediction of Protein Function Based on Weighted Mapping of Domains and GO Terms

Table 4

Compare the performances of the concerned methods.

		Uniref50			SwissProt			TrEMBL			Average
		MF	BP	CC	MF	BP	CC	MF	BP	CC
NB	Precision	0.7778	0.7339	0.7421	0.8362	0.8121	0.8408	0.8977	0.8477	0.8927	0.8201
	Recall	0.0428	0.0319	0.0244	0.5012	0.4212	0.3718	0.5086	0.3721	0.4819	0.3062
	𝐹max	0.0812	0.0612	0.0473	0.6267	0.5547	0.5156	0.6493	0.5172	0.6259	0.4088
DRDO	Precision	0.7716	0.7151	0.7109	0.8232	0.8004	0.8312	0.8644	0.8073	0.8623	0.7985
	Recall	0.1777	0.1385	0.1115	0.5868	0.5023	0.4437	0.5517	0.429	0.5422	0.387
	𝐹max	0.2888	0.2321	0.1928	0.6852	0.6173	0.5786	0.6735	0.5603	0.6657	0.4994
DRDO-NB	Precision	0.8375	0.6906	0.7439	0.7379	0.7186	0.6766	0.8426	0.8471	0.7512	0.7607
	Recall	0.2094	0.232	0.2695	0.2394	0.2272	0.2633	0.157	0.1502	0.1452	0.2104
	𝐹max	0.335	0.3474	0.3956	0.3615	0.3452	0.379	0.2647	0.2551	0.2434	0.3252
dcGO	Precision	0.4342	0.3751	0.3014	0.558	0.5253	0.4375	0.3801	0.3473	0.3494	0.412
	Recall	0.6127	0.503	0.6127	0.605	0.4303	0.5904	0.6692	0.5137	0.6509	0.5764
	𝐹max	0.5083	0.4297	0.4041	0.5805	0.4731	0.5026	0.4848	0.4144	0.4547	0.4725
SeekFun	Precision	0.8782	0.8804	0.7682	0.8529	0.8616	0.7751	0.8064	0.8071	0.8163	0.8274
	Recall	0.7876	0.6856	0.8163	0.5953	0.4294	0.6083	0.8229	0.6985	0.7716	0.6906
	𝐹max	0.8304	0.7709	0.7914	0.7019	0.5731	0.6816	0.8146	0.7489	0.7933	0.7451

The best results are in bold.