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  2. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  3. Informant (statistics) - Wikipedia

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

    In these broader applications, the term "score" or "efficient score" started to refer more commonly to the derivative of the log-likelihood function of the statistical model in question. This conceptual expansion was significantly influenced by a 1948 paper by C. R. Rao, which introduced "efficient score tests" that employed the derivative of ...

  4. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  5. Symbolic regression - Wikipedia

    en.wikipedia.org/wiki/Symbolic_regression

    GP-GOMEA, fast (C++ back-end) evolutionary symbolic regression with Python scikit-learn-compatible interface, achieved one of the best trade-offs between accuracy and simplicity of discovered models on SRBench in 2021 (free, open source)

  6. Davies–Bouldin index - Wikipedia

    en.wikipedia.org/wiki/Davies–Bouldin_index

    The Davies–Bouldin index (DBI), introduced by David L. Davies and Donald W. Bouldin in 1979, is a metric for evaluating clustering algorithms. [1] This is an internal evaluation scheme, where the validation of how well the clustering has been done is made using quantities and features inherent to the dataset.

  7. Small business owners brace for Trump's proposed tariffs - AOL

    www.aol.com/small-business-owners-brace-trumps...

    Small businesses are bracing for stiff tariffs that President-elect Donald Trump has proposed as one of his first actions when he takes office. Trump has proposed importers pay a 25% tax on all ...

  8. Elastic net regularization - Wikipedia

    en.wikipedia.org/wiki/Elastic_net_regularization

    It was proven in 2014 that the elastic net can be reduced to the linear support vector machine. [7] A similar reduction was previously proven for the LASSO in 2014. [8] The authors showed that for every instance of the elastic net, an artificial binary classification problem can be constructed such that the hyper-plane solution of a linear support vector machine (SVM) is identical to the ...

  9. Britney Spears Treats Herself to 'Fun Vacation' Getaway to ...

    www.aol.com/britney-spears-treats-herself-fun...

    Britney Spears is jet-setting for her 43rd birthday!. On Monday, Dec. 2, the global pop star set her sights on an international celebration for her big day. "Britney treated herself to a fun ...