A score of 0.93 is not the end of the NorthPeak project. Before trusting it, you ask which columns the forest used, and where it fails, by machine type and by month. Then you open the October to December test set once, with the settings fixed by cross-validation, and write the numbers down. This lesson covers feature importance, error analysis and that single use of the test set, where the tuned forest scores 0.936 and the Week 5 logistic regression 0.961.
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