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Table 3 Precision, recall, and \(F_{1}\) for different bot classifiers using 5-fold cross-validation, along with numbers of features. The best values for each metric are shown in bold. DNA-influenced classifiers produced recall of 1.0 because they always predicted that all account were bots

From: A language framework for modeling social media account behavior

Model

Precision

Recall

\(F_{1}\)

Features

BLOC

0.899

0.884

0.892

197

Botometer

0.929

0.914

0.921

1160

DNA-influenced

0.499

1.000

0.666

–

Digital DNA (b3_type)

0.796

0.529

0.636

–

Digital DNA (b3_content)

0.866

0.183

0.303

–

Digital DNA (b6_content)

0.868

0.187

0.308

–