Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
Score when you want to find a balance between precision and recall. It is particularly valuable when there is an uneven class distribution or when both false positives and false negatives are equally important. - Consider F1 Score as a metric when the cost of false positives and false negatives