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What does cross-validation mean?

Looking for the meaning or definition of the word cross-validation? Here's what it means.

Noun
  1. (statistics) Any technique or instance of assessing how the results of a statistical analysis will generalize to an independent dataset.
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Half of the subjects in this study were randomly assigned to a validation group and half to the cross-validation group.
We performed cross-validation by randomizing the sample labels in 1000 iterations and calculating P values for the randomly permutated and correctly labeled samples.
We used the jackknife version of cross-validation, where the training set consists of the complete network minus a single specified edge.
With cluster sampling, standard cross-validation underestimates the generalization error rate, and is deficient for model selection.
Whatever algorithm is used, the key to producing a stable and robust calibration is to avoid over fitting, by using either a test set or some form of cross-validation to moderate the fitting process.
This integration would enable the recording of all previous related experiments and investigations and could serve as a cross-validation mechanism for research results in each respective area.

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