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Table 2 TF*ML Feature Value Schema.

From: Exploiting and integrating rich features for biological literature classification

Feature value

Precision

Recall

F-Score

AUC

TF*IDF

0.7015

0.8213

0.7567

0.8036

TF*ML

0.7014

0.8773

0.7796

0.8231

  1. (Performance under unigram feature)
The Precision/Recall/F-Score demonstrate classification capability of the model, and AUC (area under receiving operator characteristic curve) is to evaluate ranking capability of the model.
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BMC Bioinformatics

ISSN: 1471-2105

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