Precision-Recall Curve for Best Performing ICAPS Model: The precision-recall curve for the best performing model trained on ICAPS data with a threshold of 0.2.

Precision, displayed on the y-axis, is defined as the total number of images that are correctly identified as positive for TF divided by the total number of images that are correctly identified as positive for TF plus the total number of images that are incorrectly identified as positive for TF. Recall, shown on the x-axis, is defined as the total number of images that are correctly identified as positive for TF divided by the total number of images that are correctly identified as positive for TF plus the total number of images that are incorrectly identified as negative for TF.