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  2. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the multivariate frequency distribution of the variables. They are heavily used in survey research, business intelligence, engineering, and scientific research.

  3. NM-method - Wikipedia

    en.wikipedia.org/wiki/NM-method

    For , and matrices of size the two methods produces the same transformed table provided ranks the contingency tables the same as the scalar-valued Liu-Lu index does. [20] However, for Z {\displaystyle {Z}} matrices larger than 2×2, the generalized Liu-Lu index is matrix-valued, so it is different from the scalar-valued v ( Z ) {\displaystyle v ...

  4. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).

  5. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [1] [2] [3] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.

  6. Correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Correspondence_analysis

    Correspondence analysis is performed on the data table, conceived as matrix C of size m × n where m is the number of rows and n is the number of columns. In the following mathematical description of the method capital letters in italics refer to a matrix while letters in italics refer to vectors .

  7. Phi coefficient - Wikipedia

    en.wikipedia.org/wiki/Phi_coefficient

    In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.

  8. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    The four outcomes can be formulated in a 2×2 contingency table or confusion matrix, ... Toggle the table of contents. Sensitivity and specificity.

  9. Category:Contingency table - Wikipedia

    en.wikipedia.org/wiki/Category:Contingency_table

    Pages in category "Contingency table" The following 3 pages are in this category, out of 3 total. This list may not reflect recent changes. ...