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  2. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]

  3. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    Medical usage. In medical diagnosis, test sensitivity is the ability of a test to correctly identify those with the disease (true positive rate), whereas test specificity is the ability of the test to correctly identify those without the disease (true negative rate). If 100 patients known to have a disease were tested, and 43 test positive ...

  4. Analytical quality control - Wikipedia

    en.wikipedia.org/wiki/Analytical_quality_control

    Analytical quality control. Analytical quality control (AQC) refers to all those processes and procedures designed to ensure that the results of laboratory analysis are consistent, comparable, accurate and within specified limits of precision. [1] Constituents submitted to the analytical laboratory must be accurately described to avoid faulty ...

  5. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances.

  6. Significant figures - Wikipedia

    en.wikipedia.org/wiki/Significant_figures

    Explicitly state the number of significant figures (the abbreviation s.f. is sometimes used): For example "20 000 to 2 s.f." or "20 000 (2 sf)". State the expected variability (precision) explicitly with a plus–minus sign, as in 20 000 ± 1%. This also allows specifying a range of precision in-between powers of ten.

  7. Computational chemistry - Wikipedia

    en.wikipedia.org/wiki/Computational_chemistry

    Chemical accuracy is the accuracy required to make realistic chemical predictions and is generally considered to be 1 kcal/mol or 4 kJ/mol. To reach that accuracy in an economic way, it is necessary to use a series of post-Hartree–Fock methods and combine the results. These methods are called quantum chemistry composite methods. [57]

  8. Graduated cylinder - Wikipedia

    en.wikipedia.org/wiki/Graduated_cylinder

    For accuracy the volume on graduated cylinders is depicted on scales with 3 significant digits: 100mL cylinders have 1ml grading divisions while 10mL cylinders have 0.1 mL grading divisions. Two classes of accuracy exist for graduated cylinders. Class A has double the accuracy of class B. [4] Cylinders can have single or double scales. Single ...

  9. Laboratory quality control - Wikipedia

    en.wikipedia.org/wiki/Laboratory_quality_control

    Laboratory quality control is designed to detect, reduce, and correct deficiencies in a laboratory's internal analytical process prior to the release of patient results, in order to improve the quality of the results reported by the laboratory. Quality control (QC) is a measure of precision, or how well the measurement system reproduces the ...