BMC Systems Biology

Table 5 Experimental results of three different feature sets

From: Predicting protein complex in protein interaction network - a supervised learning based method

	Unweighted feature set				Weighted feature set				All feature set
merg_ thred	Num	P	R	F	Num	P	R	F	Num	P	R	F
0.1	169	0.5621	0.3009	0.3920	205	0.6537	0.4042	0.4995	212	0.6792	0.4102	0.5115
0.2	242	0.4876	0.3443	0.4036	266	0.6353	0.4536	0.5293	286	0.6434	0.4746	0.5462
0.3	309	0.4434	0.3757	0.4068	301	0.6146	0.4790	0.5384	333	0.6186	0.4895	0.5465
0.4	389	0.4216	0.4042	0.4127	350	0.62	0.4910	0.5480	388	0.6237	0.5075	0.5596
0.5	476	0.4202	0.4132	0.4166	443	0.6163	0.5090	0.5575	491	0.6273	0.5240	0.5710
0.6	576	0.4184	0.4266	0.4225	572	0.6189	0.5165	0.5631	624	0.6298	0.5284	0.5747
0.7	703	0.4296	0.4371	0.4333	717	0.6374	0.5329	0.5805	755	0.6530	0.5374	0.5896
0.8	815	0.4331	0.4431	0.4381	834	0.6319	0.5389	0.5817	880	0.6477	0.5434	0.5910
0.9	910	0.4286	0.4446	0.4364	930	0.6108	0.5404	0.5734	945	0.6180	0.5434	0.5783

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