F1-score (F1) Machine Learning
noun phrase
Definition: A classification metric defined as the harmonic mean of precision and recall, commonly used to balance both measures in classification tasks [scikit-learn Documentation].
Example in context: “Although the relevant literature review highlighted the AUC score as an evaluation metric for the ML models, in our study we used accuracy, F1-score, Recall and Precision to examine thoroughly the performance of our ML models.” [Dimitsaki et al. 2023]
“The proposed model achieved an F1 score of up to 88% in the influenza case study and 94% in the COVID-19.” [Nerella et al. 2024]
Synonyms: F1
Related terms: precision, recall, macro F1, micro F1