How do I evaluate the performance of my AI model?
An example of an AI chatbot conversation about evaluating AI model performance.
How do I evaluate the performance of my AI model?
To evaluate your AI model, you can use metrics like accuracy, precision, recall, and F1 score.
What is the difference between precision and recall?
Precision measures the accuracy of positive predictions, while recall measures the ability to find all relevant instances.
Can you explain F1 score?
The F1 score is the harmonic mean of precision and recall, providing a balance between the two.
What are some common pitfalls in model evaluation?
Common pitfalls include overfitting, using inappropriate metrics, and not validating on a separate test set.
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