Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
Significance: - F1 score is significant because it offers a compromise between precision and recall. - It is useful in scenarios where both false positives and false negatives have consequences, and there is a need for a balanced assessment of the model's performance. When to Use F1 Score: - Use F1