A receiver operating characteristic curve, or ROC curve, is a graphical plot that illustrates the performance of a binary classifier model (can be used for multi class classification as well) at varying threshold values.
The ROC curve is the plot of the true positive rate (TPR) against the false positive rate (FPR) at each threshold setting.
hello good greeting I am a researcher and I need from you details on how to use Rock analysis and if possible how to work with the method of interpreting the results
Youden's index (or J) is just one of many methods for identifying a cut-point. E.g., the article linked below discusses 10 methods. And maximizing both sensitivity and specificity is not always "ideal". E.g., if you want to rule in, it is necessary to use a cut-point that ensures good specificity; or if you want to rule out, you need a cut-point that ensures good sensitivity. (Med students often use the mnemonic SPin-SNout to remember this.) HTH.
Article Methods of determining optimal cut-point of diagnostic bioma...
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