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Bootstrapping (statistics) Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model estimated from the data. [1] Bootstrapping assigns measures of accuracy (bias, variance, confidence intervals, prediction error, etc.) to sample estimates. [2][3] This technique ...
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.
WP:ADTABLE. There are several advanced table formatting techniques to improve the display or editing of wikitables in Wikipedia. Most of the tips involve use of standard text-editors. While some special software packages exist, to allow customized editing, they are typically not available when travelling to other computers for wiki-editing.
CSS width on table header cell. Help:Table/Width. Appearance. hide. < Help:Table. See the Width section of Help:Table. To summarize, max-width is the preferred way to limit widths on tables. It works on divs too. Note though that in both tables and divs there needs to be spaces in long lines of text or wikitext.
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
The Rao–Blackwell theorem states that if g (X) is any kind of estimator of a parameter θ, then the conditional expectation of g (X) given T (X), where T is a sufficient statistic, is typically a better estimator of θ, and is never worse. Sometimes one can very easily construct a very crude estimator g (X), and then evaluate that conditional ...
The UPGMA algorithm constructs a rooted tree (dendrogram) that reflects the structure present in a pairwise similarity matrix (or a dissimilarity matrix). At each step, the nearest two clusters are combined into a higher-level cluster. The distance between any two clusters and , each of size (i.e., cardinality) and , is taken to be the average ...
The diagonal values may be smaller than 0 or, less often, larger than 1. If regressors are uncorrelated, then the i t h {\displaystyle i^{th}} diagonal element of R ⊗ {\displaystyle R^{\otimes }} simply corresponds to the r 2 {\displaystyle r^{2}} value between x i {\displaystyle x_{i}} and y {\displaystyle y} .