Figure 7
A graph shows true positive rate versus false positive rate with R O C curve at A U C of 0.52.The vertical axis is labeled “True Positive Rate,” ranging from 0 to 1.0 in increments of 0.2. The horizontal axis is labeled “False Positive Rate,” ranging from 0 to 1.0 in increments of 0.2. The solid line labeled “R O C curve (A U C equals 0.52)” begins at (0, 0), rises in steps passing through (0.133, 0.132) and (0.348, 0.384), continues upward to (0.521, 0.694), peaks at approximately (0.991, 0.982), and ends at (1, 1). The dashed diagonal line represents random performance. Note: All numerical data values are approximated.

ROC curve for edge AI model. Source(s): Author’s work

or Create an Account

Close Modal
Close Modal