cross validation

#incomplete

Notes

• simply put, it is a technique to split and re-split the data into training and testing sets on different iterations, i.e. resampling, to assess model generalization

References

1. https://en.wikipedia.org/wiki/Cross-validation_(statistics)
2. https://scikit-learn.org/stable/modules/cross_validation.html