Let's talk about an important machine learning topic used to evaluate models: cross validation
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[1] Simulation of how increasing K affects cross validation: https://stats.stackexchange.com/quest...
[2] Simulation code: https://github.com/xavierbourretsicot...
[3] Law of Large Numbers: https://en.wikipedia.org/wiki/Law_of_...
[4] Walk forward cross validation for time series: https://otexts.com/fpp3/tscv.html
[5] Introduction to Statistical Learning Textbook can provide a great basis: https://hastie.su.domains/ISLR2/ISLRv...
[6] More info on Leave One Out cross validation: https://www.quora.com/Why-does-leave-...
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