recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved...

include methods such as observed user behaviour, test collections, precision and recall, and scores from prepared benchmark test sets. Evaluation for an information...

classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of...

true value and its scatter Significant figures, the number of digits that carry real information about a measurement Precision and recall, in information...

trade-off between precision and recall is simple: an increase in precision can lower overall recall, while an increase in recall lowers precision. Full-text...

Accuracy and precision are two measures of observational error. Accuracy is how close a given set of measurements (observations or readings) are to their...

For example, in medicine sensitivity and specificity are often used, while in computer science precision and recall are preferred. An important distinction...

recall implicitly causes a decrease in precision, given that factors of recall are part of the denominator. It is also inferred that a larger recall negatively...

metric is based on the harmonic mean of unigram precision and recall, with recall weighted higher than precision. It also has several features that are not...

mean of precision and recall: F = 2 × precision × recall precision + recall {\displaystyle F=2\times {\frac {{\text{precision}}\times {\text{recall...