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F-score or F-measure is a metric that combines precision and recall of a binary classification or information retrieval system. It can be calculated using different weights and is related to other measures such as accuracy, specificity, and sensitivity.
Accuracy measures how close a given set of observations are to their true value, while precision measures how close the observations are to each other. Learn the difference, the quantification, and the applications of accuracy and precision in science, engineering, and statistics.
The precision matrix is the inverse of the covariance matrix in statistics, and it plays a role in Bayesian analysis, generalized least squares, and partial correlation. Learn the etymology, properties, and applications of the precision matrix from this Wikipedia article.
SPSS 6.1 Exact test for Windows. Prentice Hall. Mehta CR and Patel NR. 1983. A network algorithm for performing Fisher's exact test in rxc contingency tables. Journal of the American Statistical Association, 78(382): 427–434. Mehta CR and Patel NR. 1995. Exact logistic regression: theory and examples. Statistics in Medicine, 14: 2143–2160.
Learn how to measure the performance of data retrieval or classification using precision and recall, and how to plot them on a precision-recall curve. See examples, formulas, and related metrics such as F-measure and Matthews correlation coefficient.
Learn how to measure the accuracy of a binary classifier using a 2x2 contingency table and various metrics, such as true positive rate (TPR), false positive rate (FPR), and F1 score. TPR is the proportion of positive cases that are correctly classified as positive by the classifier.
Learn how to calculate and interpret the positive and negative predictive values (PPV and NPV) of a diagnostic test or statistical measure. PPV and NPV depend on the prevalence, sensitivity, specificity, and accuracy of the test.
Observational error is the difference between a measured value and its true value. It can be divided into random and systematic error, which have different causes and ...