Definition
A statistical technique for assessing how well a model will generalize to an independent, unseen dataset by repeatedly partitioning the data into training and testing sets.
In short: A statistical technique for assessing how well a model will generalize to an independent, unseen dataset by repeatedly partitioning the data into training and testing sets.