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Table 3 Values of Area Under Curve scores for ROC and Precision-Recall curves. Numbers in brackets represent the score achieved by a model which randomly predicts 1 or 0 in proportion to the dataset prior, averaged over 100 trials

From: Evaluating structural edge importance in temporal networks

Dataset Balanced accuracy ROC AUC Precision-Recall AUC
Bilateral trade 0.542 (0.5 ± 0.0011) 0.554 (0.5 ± 0.0013) 0.628 (0.595 ± 0.0021)
College messaging 0.623 (0.5 ± 0.0027) 0.678 (0.5 ± 0.0029) 0.017 (0.005 ± 0.0045)
Equity-1 0.568 (0.5 ± 0.0039) 0.576 (0.5 ± 0.0046) 0.365 (0.313 ± 0.0062)
Equity-2 0.566 (0.5 ± 0.0061) 0.579 (0.5 ± 0.0073) 0.430 (0.351 ± 0.010)
Equity-3 0.527 (0.5 ± 0.0025) 0.542 (0.5 ± 0.0045) 0.424 (0.381 ± 0.0030)