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. 2019 Jun 12;13:594. doi: 10.3389/fnins.2019.00594

Table 3.

Cross validation results of HC vs. (CIS+RR) in terms of F-Measure, Precision, and Recall (± standard deviation) averaged on 3-folds.

Identity D BC CC E All-graphs
UNWEIGHTED
F-Measure 0.96 (±0.05) 0.93 (±0.06) 0.87 (±0.14) 0.89 (±0.11) 0.89 (±0.11) 1.0 (±0.0)
Precision 1.0 (±0.01) 0.97 (±0.03) 0.99 (±0.01) 0.99 (±0.01) 0.99 (±0.01) 1.0 (±0.0)
Recall 0.94 (±0.08) 0.91 (±0.09) 0.83 (±0.16) 0.85 (±0.14) 0.85 (±0.14) 1.0 (±0.0)
WEIGHTED
F-Measure 1.0 (±0.0) 0.96 (±0.01) 0.96 (±0.04) 0.98 (±0.01) 0.98 (±0.01) 1.0 (±0.0)
Precision 1.0 (±0.0) 0.98 (±0.02) 0.97 (±0.03) 1.0 (±0.0) 1.0 (±0.0) 1.0 (±0.0)
Recall 1.0 (±0.0) 0.95 (±0.03) 0.94 (±0.05) 0.96 (±0.03) 0.96 (±0.03) 1.0 (±0.0)

Rows report achieved results using unweighted graphs with unweighted features (upper) and using weighted graphs with weighted features (lower) [Degree (D), Betweenness Centrality (BC), Clustering Coefficient (CC), Local Efficiency (E), with all graph-metrics (all-graphs)] and without features (identity).