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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)