F1 score in Machine Learning
In machine learning, the F1 score is a widely used metric for evaluating the performance of a binary classification model. It offers a balanced measure by combining precision and recalls into a single score. It is calculated using the formula: F1 score = 2 * (precision * recall) / (precision + recall) Precision and recall…