I have sensitivity and Specificity values for the four different binary classifiers how to plot ROC curve ?? Suggestion pls.
@Hichem: thanks for the explanation. But I have problem in plotting them. I have developed a machine learning method to classify query data into any one of the four classes. And after conducting Jackknife test i calculated the TP TN FP FN and with that sensitivity and specificity. Now i have sensitivity and specificity for for each class like 0.94;0.75;0.91;0.76; and 0.92;0.99;0.96; 0.96; respectively. Can ROC curve can be drawn for this ?? the values are sensitivity and specificity of FOUR different classes!! kindly guide me in this regard.
Classification Assessment Methods
This paper introduces a detailed explanation with numerical examples many classification assessment methods or classification measures such as:
Accuracy, sensitivity, specificity, ROC curve, Precision-Recall curve, AUC score and many other metrics. In this paper, many details about the ROC curve, PR curve, and Detection Error Trade-off (DET) curve. Moreover, many details about some measures which are suitable for imbalanced data are explained.
Your comments are highly appreciated.
https://ac.els-cdn.com/S2210832718301546/1-s2.0-S2210832718301546-main.pdf?_tid=20353999-8c84-422a-8191-fd1059469272&acdnat=1536185805_03b19e159f0675a01f35512961973eb5
Presentation of the paper is here
https://www.researchgate.net/publication/327403649_Classification_assessment_methods_a_detailed_tutorial
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