Figure 2
The plot is titled “Meta-classifier R O C Curve” centered at the top. The vertical axis on the left is labeled “True Positive Rate (Recall)” and ranges from 0.0 to 1.0 in increments of 0.2 units. The horizontal axis at the bottom is labeled “False Positive Rate” and also ranges from 0.0 to 1.0 in increments of 0.2 units. The graph shows a solid curve and a diagonal line. A legend at the bottom indicates that the line represents “R O C Curve (A U C equals 0.9705)”. The solid curved line begins at 0.0 on the false positive rate axis and true positive rate axis, rising steadily toward the upper right portion of the graph, approaching 1.0 on the true positive rate axis as the false positive rate increases. The diagonal dashed line extends from the lower left corner to the upper right corner, representing a reference line. Note: All numerical data values are approximated.Receiver-operating characteristic curve (ROC) for meta-classifier model. Source: Authors’ own work