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  2. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    1 October 2010 () No Proprietary: CLI, GUI: ROOT: ROOT Analysis Framework 6.24.00 (15 April 2021) Yes GNU GPL: GUI: C++ C++, Python SageMath >100 developers worldwide 9.5 (30 January 2022; 2 years ago (10] Yes GNU GPL: CLI & GUI: Python, Cython Python Salstat: Alan J. Salmoni, Mark Livingstone 16 May 2014 () Yes GNU GPL

  3. Potentially all pairwise rankings of all possible alternatives

    en.wikipedia.org/wiki/Potentially_all_pairwise...

    This value model's six-point values (two for each criterion) can be represented by the variables a1, a2, b1, b2, c1, c2 (a2 > a1, b2 > b1, c2 > c1), and the eight possible alternatives (2 3 = 8) as ordered triples of the categories on the criteria (abc): 222, 221, 212, 122, 211, 121, 112, 111. These eight alternatives and their total score ...

  4. Mean reciprocal rank - Wikipedia

    en.wikipedia.org/wiki/Mean_Reciprocal_Rank

    The mean reciprocal rank is a statistic measure for evaluating any process that produces a list of possible responses to a sample of queries, ordered by probability of correctness. The reciprocal rank of a query response is the multiplicative inverse of the rank of the first correct answer: 1 for first place, 1 ⁄ 2 for second place, 13 ...

  5. Ranking SVM - Wikipedia

    en.wikipedia.org/wiki/Ranking_SVM

    In machine learning, a ranking SVM is a variant of the support vector machine algorithm, which is used to solve certain ranking problems (via learning to rank). The ranking SVM algorithm was published by Thorsten Joachims in 2002. [1] The original purpose of the algorithm was to improve the performance of an internet search engine.

  6. UPGMA - Wikipedia

    en.wikipedia.org/wiki/UPGMA

    UPGMA (unweighted pair group method with arithmetic mean) is a simple agglomerative (bottom-up) hierarchical clustering method. It also has a weighted variant, WPGMA , and they are generally attributed to Sokal and Michener .

  7. Ranking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(statistics)

    In statistics, ranking is the data transformation in which numerical or ordinal values are replaced by their rank when the data are sorted.. For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.

  8. Learning to rank - Wikipedia

    en.wikipedia.org/wiki/Learning_to_rank

    Learning to rank [1] or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2] Training data may, for example, consist of lists of items with some partial order specified between items in ...

  9. Rank-index method - Wikipedia

    en.wikipedia.org/wiki/Rank-Index_method

    In apportionment theory, rank-index methods [1]: Sec.8 are a set of apportionment methods that generalize the divisor method. These have also been called Huntington methods , [ 2 ] since they generalize an idea by Edward Vermilye Huntington .