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  2. Out-of-bag error - Wikipedia

    en.wikipedia.org/wiki/Out-of-bag_error

    One set, the bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement. The out-of-bag set is all data not chosen in the sampling process. When this process is repeated, such as when building a random forest, many bootstrap samples and OOB sets are created. The OOB sets can be aggregated into one dataset, but each ...

  3. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    v. t. e. Bootstrap aggregating, also called bagging (from b ootstrap agg regat ing ), is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting.

  4. HTML form - Wikipedia

    en.wikipedia.org/wiki/HTML_form

    Sample form. The form is enclosed in an HTML table for visual layout. Forms are enclosed in the HTML <form> element. This HTML element specifies the communication endpoint the data entered into the form should be submitted to, and the method of submitting the data, GET or POST. Elements. Forms can be made up of standard graphical user interface ...

  5. Resampling (statistics) - Wikipedia

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

    Jackknife is equivalent to the random (subsampling) leave-one-out cross-validation, it only differs in the goal. Comparison of bootstrap and jackknife. Both methods, the bootstrap and the jackknife, estimate the variability of a statistic from the variability of that statistic between subsamples, rather than from parametric assumptions.

  6. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software reviews and audit. v. t. e. In software project management, software testing, and software engineering, verification and validation is the process of checking that a software engineer system meets specifications and requirements so that it fulfills its intended purpose. It may also be referred to as software quality control.

  7. Cross-validation (statistics) - Wikipedia

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

    Cross-validation includes resampling and sample splitting methods that use different portions of the data to test and train a model on different iterations. It is often used in settings where the goal is prediction, and one wants to estimate how accurately a predictive model will perform in practice.

  8. Jackknife resampling - Wikipedia

    en.wikipedia.org/wiki/Jackknife_resampling

    In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling . It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as the bootstrap. Given a sample of size , a jackknife estimator can be built by aggregating the ...

  9. W3C Markup Validation Service - Wikipedia

    en.wikipedia.org/wiki/W3C_Markup_Validation_Service

    W3C Markup Validation Service. Tag certifying that a website has been checked for well-formed XHTML (above) and CSS (below) markup. The Markup Validation Service is a validator by the World Wide Web Consortium (W3C) that allows Internet users to check pre-HTML5 HTML and XHTML documents for well-formed markup against a document type definition.