What does AUC stand for and what is it? - Cross Validated
2015年1月9日 · Thanks a lot!! Quick question- You said AUC less than 0.5 is good too as that means we can invert the model decision?. So are you saying if I have AUC =0.3, then if a …
What is AUC (Area Under the Curve)? - Cross Validated
2018年1月4日 · In fact a perfect classifier would be at $(0,1)$. But yes, a curve passing through $(0.2,0.8)$ is likely to also have a high AUC. AUC is the area under the entire curve, not just a …
Can AUC-ROC be between 0-0.5? - Cross Validated
2019年5月10日 · A perfect predictor gives an AUC-ROC score of 1, a predictor which makes random guesses has an AUC-ROC score of 0.5. If you get a score of 0 that means the …
How to distinguish overfitting and underfitting from the ROC AUC …
2019年1月30日 · I got the point. Here is my conclusion: If Training AUC value and Test/validation AUC value differs significantly then it is probably Overfitting and in case they do not differ …
Why is ROC AUC equivalent to the probability that two randomly …
I found there are two ways to understand what AUC stands for but I couldn't get why these two interpretations are equivalent mathematically. In the first interpretation, AUC is the area under …
Determine how good an AUC is (Area under the Curve of ROC)
2020年8月16日 · That being said, you want to achieve as high an AUC value as possible. In cases where you get an AUC of 1, your model is essentially a perfect predictor for your …
regression - How to calculate Area Under the Curve (AUC), or the c ...
Many people seem to think that the AUC tells us how ‘good’ a test is. And some people think that the AUC is the probability that the test will correctly classify a patient. It is not. As you can see …
machine learning - What is AUC of PR-curve? - Cross Validated
2014年11月10日 · $\begingroup$ @MarcClaesen You mentioned the interpretation of AUC for a ROC curve, but the OP was asking for an interpretation of AUC for a PR curve. Is the …
What are the differences between AUC and F1-score?
2014年11月7日 · But as far as I understand, F1 score is based on Recall and Precision, whereas AUC/ROC consists of Recall and Specificity. It seems that they are not the same thing. I agree …
What is a good AUC for a precision-recall curve?
2014年8月26日 · However, the meaning of "close" is entirely application dependent. For example, if you could reliably identify profitable investments with an AUC of 0.7 or, for that matter …