I used the
sklearn.metric roc_auc_score,it gave me a value 0.91.
What is the does this number mean?
I am interested to learn how this is calculated,could someone please direct me to some information on this?
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I think this is covered in Wikipedia and many other similar posts here. Please look at the comments.
AUC of 0.91 is much better than a random model (AUC=0.5), but it doesn't mean your model is good. You will need to compare your model with a reference model. If your reference model has AUC 0.95, your AUC 0.91 is bad. However, if your reference AUC is 0.70, then your AUC 0.91 is good.