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I have been working on a image classification problem, I trained resnet50 and GoogleNet using the input data. Can anyone help me on how to derive the results (F1, recall, accuracy and ROC). I would be really grateful.
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Raynier Suresh
el 30 de Nov. de 2020
For Accuracy:
accuracy = mean(YPred == YValidation)
Refer the below link for more information
For Roc:
refer the below links
For Precision, Recall and F1 Score:
From the confusion matrix you can calculate precision and recall. Using Precision and Recall you can calculate the F1 score.
Refer the below links for confusion matrix
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