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Table 2 Performance of various learning algorithms tested on the BIOADI corpus and the AB3P corpus

From: BIOADI: a machine learning approach to identifying abbreviations and definitions in biological literature

Training Corpus

AB3P corpus

BIOADI corpus

Test Corpus

BIOADI corpus

AB3P corpus

Learning Algorithm

Precision

Recall

F-score

Precision

Recall

F-Score

Naïve Bayes

0.9733

0.4828

0.6454

0.9784

0.7518

0.8503

Logistic Regression

0.9352

0.7995

0.8620

0.9586

0.8464

0.8990

MCMaximun Entropy

0.9320

0.7013

0.8004

0.9301

0.8066

0.8640

SVM (linear kernel)

0.9446

0.7808

0.8549

0.9619

0.8398

0.8967

SVM (RBF kernel)

0.9212

0.8103

0.8622

0.9256

0.8580

0.8906