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Table 2 Accuracy [and F1-Score] (in percentage) of the models used in our experiments. In both classes, D-Model performs best, followed by C-Net and lastly SVM. Also, all models performed better on 5 classes compared to 195 classes

From: MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

Models

195 classes

5 classes

SVM

66.43 [61.27]

78.74 [78.63]

D-Model

70.78 [66.90]

83.09 [82.94]

C-Net

70.49 [66.18]

82.78 [82.61]