MCDMClassification Metric

F1-Score

The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link
  2. Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. DOI: 10.9735/2229-3981

Related methods

Referenced by

ScholarGateF1-Score (F1-Score (Harmonic Mean of Precision and Recall)). Retrieved 2026-06-04 from https://scholargate.app/en/model-evaluation/f1-score