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in this tutorial were going to learn how to apply k-fold cross-validation in our and specifically were going to apply logistic regression within capable cross-validation now we could apply other types of statistical models within a cave bolt cross-validation framework however for simplicity were going to focus on logistic regression because it does use binary or dichotomous outcomes which makes it possible to think about things in terms of classification tables and so forth and so thats what were going to focus on today now lets do a quick overview of what k-fold cross-validation actually is so imagine you start with the sample of data and you want to make sure that this sample of data is sufficiently large because were going to do a number of partitions or splits to the data so the first step that we typically take is that were going to take our original data and do an 80 percent twenty percent split so well randomly assign our data from either the to either the training dat