Machine Learning, Dask, Python, Data Science, Linear Models.
called a holdout set or a test set. If the model does a good job predicting the outcomes of the holdout set, we can be reasonably confident that the model has learned useful patterns that generalize to our problem well. Otherwise, if the model doesn’t perform well on the holdout set, it’s likely