Machine Learning, Data Science, Artificial Intelligence.
balanced evaluation. It is the harmonic mean of precision and recall, calculated as 2 * (precision * recall) / (precision + recall). The F1 score is useful when the class distribution is imbalanced. F1 Score = 2 ∗ (𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 ∗ 𝑅𝑒𝑐𝑎𝑙𝑙) /(𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛 + 𝑅𝑒𝑐𝑎𝑙𝑙) Specificity or True Negative Rate: