The F1 score
Example: F1 score balances precision and recall in classification tasks
Definition
"The F1 score" is a statistical measure used in data science and artificial intelligence to evaluate the accuracy of a classification model. It balances precision and recall by calculating their harmonic mean, providing a single metric that reflects both false positives and false negatives.
Etymology
"The F1 score" derives from the harmonic mean of precision and recall, where 'F' stands for 'frequency' or 'F-measure.' It was introduced in the field of information retrieval to address the limitations of using precision or recall alone. Did you know? The '1' signifies the equal weighting of precision and recall.
Learn to use this word actively
"The F1 score" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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