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Interpretation of ROC Analysis
I have derived the following ROC curves by considering four classification models:
As you see, SVM and k-NN generates a curve where shades respectively exist.
Would it be a correct implication out of the graph to say that only k-NN and SVM were able to learn based on the given dataset and the resting two (DT and NB) were not?
What does the shade mean in detail? I would interpret them as the learning interval deviation which generated the curve between the shade course in mean.
I thank you in advance for your help!