How do I evaluate my Keras model's performance?

How do I evaluate my Keras model's performance?

You can evaluate your Keras model using the evaluate method, which returns the loss and metrics.

What metrics can I use to evaluate my model?

Common metrics include accuracy, precision, recall, and F1 score, depending on your problem type.

Can I visualize the evaluation results?

Yes, you can use libraries like Matplotlib or Seaborn to create visualizations of your model's performance.

How do I interpret the evaluation results?

Interpreting results involves understanding the context of your metrics; for example, high accuracy is good, but also consider precision and recall.