Model Cross Validation is a term used in Machine Learning to estimate the predictive accuracy of the model when fed with real life data.
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Glory Gerald on 27th Oct 2020.
Applause for all the respondents - Aritra Das Gupta, Glory Gerald, Sanat Kumar.
Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.