Сравнение на методи

	Прецизност	F1-резултат
Област	Оценка на модели	Оценка на модели
Семейство	MCDM	MCDM
Година на възникване	20th century	1979
Създател	Historical statistical foundations	C. J. van Rijsbergen
Тип	Evaluation metric	Evaluation metric
Основополагащ източник	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann.
Други названия	Positive Predictive Value, PPV	F-measure, Harmonic Mean
Свързани	5	5
Резюме	Precision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.	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.