What is the accuracy score in scikit-learn?

What is the accuracy score in scikit-learn?

The accuracy score in scikit-learn is a metric used to evaluate the performance of a classification model. It measures the ratio of correctly predicted instances to the total instances.

How do I calculate the accuracy score using scikit-learn?

You can calculate the accuracy score using the accuracy_score function from the sklearn.metrics module. You need to provide the true labels and the predicted labels as arguments.

Can you show me a code example?

Sure! Here's a simple example:

from sklearn.metrics import accuracy_score

# True labels
true_labels = [0, 1, 1, 0, 1]
# Predicted labels
predicted_labels = [0, 0, 1, 0, 1]

# Calculate accuracy
accuracy = accuracy_score(true_labels, predicted_labels)
print('Accuracy:', accuracy)