Discussion Forum | Board Infinity

Difference between accuracy and f1-score. Where do we use these metrics?

Hypothesis testing

Accuracy is used when the True Positives and True negatives are more important while F1-score is used when the False Negatives and False Positives are crucial. Accuracy can be used when the class distribution is similar while the F1-score is a better metric when there are imbalanced classes.

1 Like