How do I choose the right evaluation metrics for my model?
An example of an AI chatbot conversation about selecting evaluation metrics for machine learning models.
How do I choose the right evaluation metrics for my model?
Choosing the right evaluation metrics depends on your model's purpose. Are you focusing on classification, regression, or something else?
I'm working on a classification problem.
For classification, common metrics include accuracy, precision, recall, and F1 score. Do you have a specific goal in mind?
I want to minimize false negatives.
In that case, you might prioritize recall, as it measures the ability to identify positive instances. Would you like to know how to calculate it?
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