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  2. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    Learn the difference between accuracy and precision, two measures of observational error, and how they are defined by ISO and BIPM. See examples, applications, and related terms such as bias, variability, and resolution.

  3. Floating-point error mitigation - Wikipedia

    en.wikipedia.org/wiki/Floating-point_error...

    Learn about the methods and techniques to minimize errors caused by the limited precision of floating-point numbers. Compare and contrast different approaches such as ...

  4. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

    This little-known but serious issue can be overcome by using an accuracy measure based on the logarithm of the accuracy ratio (the ratio of the predicted to actual value), given by ⁡ (). This approach leads to superior statistical properties and also leads to predictions which can be interpreted in terms of the geometric mean.

  5. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    Learn how to calculate and interpret the positive and negative predictive values (PPV and NPV) of a diagnostic test or statistical measure. See the formulas, definitions, examples, and diagrams of PPV and NPV and their relationship with other metrics.

  6. F-score - Wikipedia

    en.wikipedia.org/wiki/F-score

    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 ...

  7. Precision (statistics) - Wikipedia

    en.wikipedia.org/wiki/Precision_(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.