Cowoo

from Wikipedia

Cross-validation, sometimes called rotation estimation, is the statistical practice of partitioning a sample of data into subsets such that the analysis is initially performed on a single subset, while the other subset(s) are retained for subsequent use in confirming and validating the initial analysis.

Common Types:

Holdout validation

Repeated random sub-sampling validation

K-fold cross-validation

Leave-one-out cross-validation

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