= Model selection and validation 1: Cross-validation
{c}
{tag=Work by Ryan Tibshirani}
{title2=2013}
By <Ryan Tibshirani>.
Online text: https://www.stat.cmu.edu/~ryantibs/datamining/lectures/18-val1.pdf
Cited passages: Model selection and validation 1: Cross-validation, slides 5–8 and 11–14: tuning for prediction, training error and refitting on each training fold; Model selection and validation 1: Cross-validation, slides 6–8 and 11–14: fresh-response error, training error and held-out scoring.
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