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Table 3 Official scores for the ACT competition.

From: Classifying protein-protein interaction articles using word and syntactic features

  Run 1 Run 2 Run 3 Run 4 Run 5
TP 580 516 553 531 565
FP 417 257 376 288 398
FN 330 394 357 379 345
TN 4673 4833 4714 4802 4692
Accuracy 0.8755 0.8915 0.8778 0.8888 0.8762
Specificity 0.9181 0.9495 0.9261 0.9434 0.9218
Sensitivity 0.6374 0.5670 0.6077 0.5835 0.6209
F1 score 0.6083 0.6132 0.6014 0.6142 0.6033
MCC 0.53524 0.55306 0.52932 0.55054 0.53031
AUC iP/R 0.6591 0.6796 0.6589 0.6798 0.6537
  1. TP, FP, FN, and TN are true positive, false positive, false negative, and true negative, respectively. MCC means Matthews’ correlation coefficient measure. AUC iP/R means the area under the interpolated precision and recall curve. F1 score and MCC evaluate the performance of binary classification. AUC iP/R evaluates system performance in terms of ranked results.