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How do I compute precision and recall for a multi-class classification problem? Can I only compute accuracy?
I have a question about machine learning. How do I compute precision and recall for a multi-class classification problem?
Precision and recall are performance metrics used in machine learning. To compute them for a multi-class classification problem, you can calculate the precision and recall for each class separately and then calculate the average over all classes.