May I know how can I compute AUC value and ROC curve from an AutoML Vision trained model? Google does only provide the average precision and Precision-Recall curve for evaluation (including a confusion matrix). May I know are there methods in dealing this? Thanks so much!
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At this moment AutoML Vision does not provide this feature to get AUC value and ROC, I suggest you to file a feature request asking for this feature.
Keep in mind that there is no ETA for approve/implement Feature Requests as is mentioned in the documentation.
After doing it I suggest you to “starring" that feature request to vote and supply feedback about how it would be useful. I also suggest you verify constantly the Cloud Vision release notes to know about all features, bug fixes, known issues, and deprecated functionality on AutoML Vision.
Enrique Zetina
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Thanks so much! May I ask another question? After I have trained a model in automl vision, it reported with a precision-recall curve and a confusion matrix. I would like to know what is the threshold being set to depict the confusion matrix? I cannot find any documentation in Google Cloud stating the threshold value for the construction of that particular confusion matrix. Many thanks! – warauuu Apr 06 '20 at 15:03