I am working on python and I want to show different accuracy values in the ROC curve which will show the different values in curves.
I would like to suggest you to follow : https://stackoverflow.com/questions/25009284/how-to-plot-roc-curve-in-python
https://stackabuse.com/understanding-roc-curves-with-python/
https://machinelearningmastery.com/roc-curves-and-precision-recall-curves-for-imbalanced-classification/
Amna Arshad Accuracy is defined as TP+TN/P+N where as ROC curve is a curve between TP/P (sensitivity) and FP/N (False positive rate).
TP: True positive
TN: True negative
FP: False positive
P: total positive
N: total negative
Could you elaborate a lil more on the problem you are facing? is it conceptual or in implementing python ?
Please go through this link, it is easy to follow...
https://intellipaat.com/blog/roc-curve-in-machine-learning/
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