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  2. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  3. K-statistic - Wikipedia

    en.wikipedia.org/wiki/K-statistic

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  4. Little Professor - Wikipedia

    en.wikipedia.org/wiki/Little_Professor

    The Little Professor is a backwards-functioning calculator designed for children ages 5 to 9. Instead of providing the answer to a mathematical expression entered by the user, it generates unsolved expressions and prompts the user for the answer.

  5. Fountas and Pinnell reading levels - Wikipedia

    en.wikipedia.org/wiki/Fountas_and_Pinnell...

    While young children display a wide distribution of reading skills, each level is tentatively associated with a school grade. Some schools adopt target reading levels for their pupils. This is the grade-level equivalence chart recommended by Fountas & Pinnell. [4] [5]

  6. Cross-validation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Cross-validation_(statistics)

    When k = n (the number of observations), k-fold cross-validation is equivalent to leave-one-out cross-validation. [16] In stratified k-fold cross-validation, the partitions are selected so that the mean response value is approximately equal in all the partitions. In the case of binary classification, this means that each partition contains ...

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  8. Kolmogorov–Smirnov test - Wikipedia

    en.wikipedia.org/wiki/Kolmogorov–Smirnov_test

    Illustration of the Kolmogorov–Smirnov statistic. The red line is a model CDF, the blue line is an empirical CDF, and the black arrow is the KS statistic.. In statistics, the Kolmogorov–Smirnov test (also K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional probability distributions.

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