Applied Network Science

Table 1 Cluster quality assessment. The table presents the dominant classes for respective clusters and the precision, recall, and \(F_1\) scores used to assess them. \(F_1\) score balances the importance of precision and recall (by a harmonic mean)

From: Real-world data in rheumatoid arthritis: patient similarity networks as a tool for clinical evaluation of disease activity

Cluster	Dominant class	Precision	Recall	F\(_1\) score
Green	Active	1	0.31	0.47
Red	Active	0.88	0.38	0.54
Blue	Non-active	0.53	0.27	0.36
Orange	Non-active	0.89	0.68	0.77

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