C14 new content #604
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C14 new content #604
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This one is ready for your review @restrellado |
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@ivelasq I know you are familiar with tidymodels, so would welcome a look at some point. |
restrellado
modified the milestones:
Second Edition: 25 Percent Complete,
Second Edition: 50 Percent Complete
restrellado
approved these changes
Feb 16, 2025
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Looks great @jrosen48 . Can you please make the one edit I commented on and then merge? After that, I'll begin a more thorough style review, pushing to this same branch.
14-wt-machine-learning.Rmd
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| A quick statistical note: above, we selected our variable importance method to be "permutation" for our demonstrative example. There are other options available in the {caret} package if you would like to explore those in your analyses. | ||
| But, the model seemed to perform differnetly for students who passed versus those who did not. We can see this by looking at the precision and recall metrics: the recall value of .925 tells us that when students passed the call, the model correctly predicted they did so around 92% of the time. The precision, though, tells us that when the model predicted a student passed the course, it was correct around 65% of the time, meaning that the model regularly made _false positive_ predictions. Herein lies the value of metrics other than accuracy: they can help us understand how the model is performing for different outcomes: false positives or false negatives may matter more or less depending on the context, and your knowledge as the analyst and researcher is critical here for determining whether the model is "good enough" for your purposes. |
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Should "passed the call" be "passed the course?"
Change "call" to "course"
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initial working code and draft