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Table 7 Best impact of the KG for the scholarly document category classification task with different machine learning methods; WHO = World Health Organization (COVID-19 Global literature on coronavirus disease); LR = Logistic Regression; RF = Random Forest; P = Precision; R = Recall; F1 = F1 score; A = Accuracy; MA = Macro average; WA = Weighted average; D_U_B = DBpedia Unqualified Relation with Bag-of-words; D_D_B = DBpedia Direct Type with Bag-of-words

From: Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph

Data

ML

Repr.

P

R

F1

A

MA

WA

WHO-4

RF

BOW

0.80

0.79

0.79

0.79

0.79

0.79

WHO-4

RF

D_U_B

0.80

0.79

0.79

0.79

0.79

0.79

WHO-4

RF

D_D_B

0.80

0.78

0.78

0.79

0.78

0.79

WHO-30

LR

BOW

0.81

0.87

0.81

0.82

0.82

0.82

WHO-30

LR

D_U_B

0.81

0.87

0.81

0.82

0.82

0.82

WHO-30

LR

D_D_B

0.81

0.87

0.81

0.82

0.82

0.82