Table 8.

Number of interologs and true positives predicted by InParanoid score (IP) without other feature scores.

InParanoid score	Predicted interologs	True positives	Putatives	Precision	Recall
IP > 0.0	90,871	2,572	88,299	2.83%	-*
IP > 0.1	82,529	2,489	80,040	3.02%	96.77%
IP ≥ 0.2	72,266	2,368	69,898	3.28%	92.07%
IP ≥ 0.3	66,764	2,305	64,459	3.45%	89.62%
IP ≥ 0.4	60,916	2,214	58,702	3.63%	86.08%
IP ≥ 0.5	54,481	2,134	52,347	3.92%	82.97%
IP ≥ 0.6	49,778	2,069	47,709	4.16%	80.44%
IP ≥ 0.7	44,531	1,986	42,545	4.46%	77.22%
IP ≥ 0.8	41,354	1,958	39,396	4.73%	76.13%
IP ≥ 0.9	38,984	1,930	37,054	4.95%	75.04%
IP = 1.0	36,376	1,918	34,458	5.27%	74.57%

* : the predicted data set do not contain negative data to calculate false negative (FN) to obtain recall = (TP/(TP+FN))