METSP: A Maximum-Entropy Classifier Based Text Mining Tool for Transporter-Substrate Identification with Semistructured Text

Table 2

The precision, recall of ME classifier, and the number of “false” negative instances that were actually positive instances in four iterations.

	Iteration 1	Iteration 2	Iteration 3	Iteration 4
Precision	94.93%	98.17%	98.50%	98.54%
Recall	97.52%	97.95%	98.00%	98.02%
FP ratio	546/688	70/250	24/205	16/201

Note: FP ratio represents the number of “false” negative instances that were actually positive instances.