Cross-validation, sometimes called rotation estimation or out-of-sample testing, is any of various similar model validation techniques for assessing how...

Look up cross-validation in Wiktionary, the free dictionary. Cross-validation may refer to: Cross-validation (statistics), a technique for estimating the...

the residual plots may indicate a flaw in the model. Cross validation is a method of model validation that iteratively refits the model, each time leaving...

the validation set. Averaging the quality of the predictions across the validation sets yields an overall measure of prediction accuracy. Cross-validation...

Construct validity Cross-validation (statistics) External validity Face validity Internal validity Predictive validity Regression model validation Statistical...

In statistics, the predicted residual error sum of squares (PRESS) is a form of cross-validation used in regression analysis to provide a summary measure...

Generative model Discriminative model Online machine learning Cross-validation (statistics) Recursive Bayesian estimation Kalman filter Particle filter...

Look up validation or validate in Wiktionary, the free dictionary. Validation may refer to: Data validation, in computer science, ensuring that data inserted...

Cross-covariance Cross-entropy method Cross-sectional data Cross-sectional regression Cross-sectional study Cross-spectrum Cross tabulation Cross-validation (statistics)...

electrical description CV/Gate, a control voltage and gate solution Cross-validation (statistics), a method to separate data in machine learning CV (novel), a...

in training (for example in cross-validation), the test data set is also called a holdout data set. The term "validation set" is sometimes used instead...

development in medical statistics is the use of out-of-sample cross validation techniques in meta-analysis. It forms the basis of the validation statistic, Vn...

(meta-algorithm) Bootstrap aggregating Bootstrapping (statistics) Cross-validation (statistics) Random forest Random subspace method (attribute bagging)...

Bias–variance tradeoff Model selection Cross-validation (statistics) Validity (statistics) Verification and validation Double descent "Mohr, Felix and van...

learners in a way that reduces their variance. Model validation methods such as cross-validation (statistics) can be used to tune models so as to optimize the...

In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as...

In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful...

accuracy". Boosting (machine learning) Bootstrapping (statistics) Cross-validation (statistics) Out-of-bag error Random forest Random subspace method...

In statistics, censoring is a condition in which the value of a measurement or observation is only partially known. For example, suppose a study is conducted...

Information Criterion Statistics, D. Reidel. Stone, M. (1977), "An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion"...

In descriptive statistics, the range of a set of data is size of the narrowest interval which contains all the data. It is calculated as the difference...

Parametric statistics is a branch of statistics which leverages models based on a fixed (finite) set of parameters. Conversely nonparametric statistics does...

zero, and its size will be the signal energy. In probability and statistics, the term cross-correlations refers to the correlations between the entries of...

In statistics and optimization, errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element...

In statistics, deviance is a goodness-of-fit statistic for a statistical model; it is often used for statistical hypothesis testing. It is a generalization...

Mathematical statistics is the application of probability theory, a branch of mathematics, to statistics, as opposed to techniques for collecting statistical...

In statistics, path analysis is used to describe the directed dependencies among a set of variables. This includes models equivalent to any form of multiple...

In statistics, Cramér's V (sometimes referred to as Cramér's phi and denoted as φc) is a measure of association between two nominal variables, giving a...

Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling...

Statistics, in the modern sense of the word, began evolving in the 18th century in response to the novel needs of industrializing sovereign states. In...