Table 5 Metrics of accuracy, precision (macro), recall (macro) and F-score (macro) according to \(G_{DBLP}\) reduction
From: Coarsening effects on k-partite network classification
Reduction | Accuracy | Precision (macro) | Recall (macro) | F-score (macro) |
|---|---|---|---|---|
\(20\%\) | \(2.47 \%\) | \(0.02 \%\) | \(2.59 \%\) | \(1.25 \%\) |
\(36\%\) | \(4.88 \%\) | \(0.11 \%\) | \(4.46 \%\) | \(2.46 \%\) |
\(49\%\) | \(4.92 \%\) | \(1.21 \%\) | \(5.12 \%\) | \(3.75 \%\) |
\(59\%\) | \(4.92 \%\) | \(2.43 \%\) | \(5.02 \%\) | \(3.75 \%\) |
\(67\%\) | \(4.92 \%\) | \(1.91 \%\) | \(5.02 \%\) | \(3.75 \%\) |