Data Science, Machine Learning, Statistics, Open Source, Crossvalidation.
have an overly pessimistic estimate). So to cover our ground, we can do the following: repeat the same process many times and average the results; this process is known as cross-validation: Image by author. In summary: cross-validation provides us with a robust way to estimate the performance of