F1 Score

The harmonic mean of precision and recall, providing a single metric that balances both. It is particularly useful when both false positives and false negatives matter, and when the dataset is imbalanced enough that overall accuracy would be misleading. A score of 1.0 is perfect; 0.0 is the worst possible.
See also: precision, recall, confusion matrix.