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I did classification on the GEE platform with Sentinel. Then I collected ground sample points for kappa accuracy analysis. But I also want to create accuracy assessment with ROC Curve and AUC. I have excell tables with predicted and actual class from GEE. I generated ROC Curve plots and AUC from these values using the One vs All algorithm in R. I did this for each land cover class. My question is: what should I do to find an overall AUC? What is the difference between the overall accuracy value I get from the correctly predicted points and the AUC value for the classified year?

本文标签： Roc Curve and AUCStack Overflow

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