How can I evaluate the accuracy of my scikit-learn model?

How can I evaluate the accuracy of my scikit-learn model?

You can use the accuracy_score function from sklearn.metrics to evaluate your model's accuracy.

Can you show me an example of how to use it?

Sure! After making predictions with your model, you can compare them to the true labels like this:

from sklearn.metrics import accuracy_score

# Assuming y_true are the true labels and y_pred are your model's predictions
accuracy = accuracy_score(y_true, y_pred)
print('Accuracy:', accuracy)

What if I want to use other metrics like precision or recall?

You can use precision_score and recall_score from sklearn.metrics in a similar way. Just import them and call them with your true and predicted labels.