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hfrick
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Aug 24, 2026
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The reason for the random forest in this deck is that we wanted to show a second model since the whole reason for resamples is to be able to compare different models. (And the whole game status update shows multiple models.) I think that's a good point to reiterate at the end of this deck, however you chose to do it.
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| ## Evaluating model performance `r hexes(c("probably", "tune"))` |
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There is an earlier exercise that introduces probably (slide 13) so this feels a little like repetition. Is that intended?
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In section 4, we show how
fit_resamples()works, then do the exact same thing with random forest. Immediately in the next section, we show boosted trees (very similar to RF). Given that we have a single-day workshop, this seems wasteful.