Table:
GRNCOP2	Soinov et al.	Bulashevska and Eils	RANDOM
Yeastnet	precision	93.33%	50.00%	88.89%	51.58%
sensitivity	14.29%	3.06%	8.16%	-
specificity	98.91%	96.74%	98.91%	-
score	3.04	1.84	2.77	1.5303384
Co-citation	Precision	93.33%	50.00%	88.89%	43.68%
sensitivity	16.87%	3.61%	9.64%	-
specificity	99.07%	97.20%	99.07%	-
score	3.26	1.85	2.84	1.3487118
GO	precision	73.33%	50.00%	55.56%	45.26%
sensitivity	12.79%	3.49%	5.81%	-
specificity	96.15%	97.12%	96.15%	-
number of associations	15.00	6.00	9.00	-

Interpret the illustration as Markdown format.

|  |  | GRNCOP2 | Soinov et al. | Bulashevska and Eils | RANDOM | 
 | --- | --- | --- | --- | --- | --- | 
 | Yeastnet | precision | 93.33% | 50.00% | 88.89% | 51.58% | 
 |  | sensitivity | 14.29% | 3.06% | 8.16% | - | 
 |  | specificity | 98.91% | 96.74% | 98.91% | - | 
 |  | score | 3.04 | 1.84 | 2.77 | 1.5303384 | 
 | Co-citation | Precision | 93.33% | 50.00% | 88.89% | 43.68% | 
 |  | sensitivity | 16.87% | 3.61% | 9.64% | - | 
 |  | specificity | 99.07% | 97.20% | 99.07% | - | 
 |  | score | 3.26 | 1.85 | 2.84 | 1.3487118 | 
 | GO | precision | 73.33% | 50.00% | 55.56% | 45.26% | 
 |  | sensitivity | 12.79% | 3.49% | 5.81% | - | 
 |  | specificity | 96.15% | 97.12% | 96.15% | - | 
 | <COLSPAN=2> number of associations | 15.00 | 6.00 | 9.00 | - |