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(statistics) Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset.

Comparing the cross-validation accuracy and percent of false negative (overestimation) of five classification models. Size of bubbles represent the standard deviation of cross-validation accuracy (tenfold).

(statistics) Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset.

Diagram of k-fold cross-validation

(statistics) Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset.

Illustration of leave-one-out cross-validation (LOOCV) when n = 8 observations. A total of 8 models will be trained and tested.