cross-validation
cross-validation A statistical technique in which a model is tested by dividing data sets randomly into two subsets. The model is fitted to the first set and the predictions from the model are compared with the second set. The process may be repeated many times. The method is related to statistical bootstrap estimation.
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THEORY AND STRUCTURAL MODELS
STATISTICAL MODELS WITH EXPERIMENTAL DATA
STATISTICAL MODELS WITH OBSERVATIONAL DATA
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NEYMAN, JERZY
statistics.
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BINARY CASE
EXTENSIONS TO POLYCHOTOMOUS AND MULTIVARIABLE SITUATIONS
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The logistic regression model is used when the…
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cross-validation