পদ্ধতির তুলনা করুন

	Recall (Sensitivity)	F1-স্কোর
ক্ষেত্র	মডেল মূল্যায়ন	মডেল মূল্যায়ন
পরিবার	MCDM	MCDM
উদ্ভবের বছর	20th century	1979
প্রবর্তক	Historical statistical foundations	C. J. van Rijsbergen
ধরন	Evaluation metric	Evaluation metric
মৌলিক উৎস	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.
অপর নাম	Sensitivity, True Positive Rate, TPR	F-measure, Harmonic Mean
সম্পর্কিত	5	5
সারসংক্ষেপ	Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is 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.