I have used knn to classify 86 images into 2 classes. I have found the confusion matrix and accuracy using matlab commands confusionmat and classperf. How do I find the ROC curve? I know it is a ratio of true positive rate and false positive rate at all possible thresholds, but how do I calculate it when I only have confusion matrix to play with? I have banged my head for weeks over theory of ROC but still am no where close to actually plotting it. Please if someone could guide me with respect to plotting it on matlab and not the theory behind it, that would be great.
MATLAB: Plotting ROC curve from confusion matrix
aucclassificationDeep Learning Toolboximage processingknnrocStatistics and Machine Learning Toolbox
Best Answer