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  2. Postal address verification - Wikipedia

    en.wikipedia.org/wiki/Postal_address_verification

    Before an address can be certified as deliverable (CASS-certified), it must first be standardized. Standardization converts an address into a standard format by correcting the address, if possible, and adding missing information, such as a ZIP code, to produce a complete address containing a street address, city, state, and ZIP code.

  3. Resampling (statistics) - Wikipedia

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

    Cross-validation is employed repeatedly in building decision trees. One form of cross-validation leaves out a single observation at a time; this is similar to the jackknife. Another, K-fold cross-validation, splits the data into K subsets; each is held out in turn as the validation set. This avoids "self-influence".

  4. Bootstrapping (statistics) - Wikipedia

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

    The studentized bootstrap, also called bootstrap-t, is computed analogously to the standard confidence interval, but replaces the quantiles from the normal or student approximation by the quantiles from the bootstrap distribution of the Student's t-test (see Davison and Hinkley 1997, equ. 5.7 p. 194 and Efron and Tibshirani 1993 equ 12.22, p. 160):

  5. Bootstrap error-adjusted single-sample technique - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_error-adjusted...

    In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment to be made of the validity of a single sample.

  6. 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 ...

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy of ML classification and regression algorithms.

  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.

  9. List of postal codes - Wikipedia

    en.wikipedia.org/wiki/List_of_postal_codes

    The postal code refers to the post office at which the receiver's P. O. Box is located. Kiribati: KI: no codes Korea, North: KP: no codes Korea, South: 1 August 2015 KR: NNNNN Previously NNN-NNN (1988~2015), NNN or NNN-NN (1970~1988) Kosovo: XK: NNNNN A separate postal code for Kosovo was introduced by the UNMIK postal administration in 2004 ...