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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.