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Precision and recall. In statistical analysis of binary 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 the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly ...
An F-score is a combination of the precision and the recall, providing a single score. There is a one-parameter family of statistics, with parameter β, which determines the relative weights of precision and recall. The traditional or balanced F-score is the harmonic mean of precision and recall:
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
Let us consider the medical test aimed to detect kind of rare disease. Population size is 100 000, while 0.05% population is infected. Test performance: 95% of all positive individuals are classified correctly ( TPR =0.95) and 95% of all negative individuals are classified correctly ( TNR =0.95).
Sortable table Abbreviation Meaning Δ: diagnosis; change: ΔΔ: differential diagnosis (the list of possible diagnoses, and the effort to narrow that list) +ve: positive (as in the result of a test) # fracture: #NOF: fracture to the neck of the femur ℞ (R with crossed tail) prescription: Ψ: psychiatry, psychosis: Σ: sigmoidoscopy: x/12: x ...
Methods exist to derive a predicted mortality from this score, but these methods are not too well defined and rather imprecise. APACHE III is an updated version. SAPS II was designed to provide a predicted mortality, that does not reflect the expected mortality for a particular patient, but is good for benchmarking. In a rather simple way, it ...
You will often see the term interval on the live leaderboard during a race
In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor), is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests.