Python code to plot an example receiver-operator characteristic curve for a Gaussian distributed signal and background. This code produces three plots: Two plots of the signal and background ...

Python method to plot average ROC curves. It uses the average of linear interpolations of a set of individual ROC curves. To use, simply call the method plotAve(xss,yss), where xss and yss are both a ...

ROC is realized by visualizing it in a plot. The area under ROC, famously known as AUC is used as a metric to evaluate the classification model. ROC is drawn by taking false positive rate in the ...

The ROC curve is plotted by the GPLOT procedure, and the plot is shown in Output 39.6.3. symbol1 i=join v=none c=blue; proc gplot data=roc1; title 'ROC Curve'; plot _sensit_*_1mspec_=1 / vaxis=0 to 1 ...