Tag: F1 Score in Machine Learning

  Understanding the F1 Score in Machine Learning The F1 score is a measure of a model’s accuracy that takes both precision and recall into account. It is the harmonic mean of precision and recall, giving a balanced view of the performance, especially for binary classification tasks. Precision and Recall Precision is the proportion of…