Evaluation metrics - [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I wanted to ask about the selection of evaluation metrics. In which scenario we use ROC-AUC score and in which scenario we use f1 score as an evaluation metric in a classification problem to define the model's performance on a specific dataset.
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