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Jemoka · Jun 29, 2022 · 4ffd1ac · 4ffd1ac
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diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
diff --git a/content/posts/KBhaibridgelab_d2aft.md b/content/posts/KBhaibridgelab_d2aft.md
@@ -323,5 +323,6 @@ Much better.
 
 -   Load the wine dataset into a DataFrame and manipulate it.
 -   Feed slices back into our functions yesterday! Can you make the subsets of the data you made yesterday via the `.iloc` notation to make slicing easier?
+-   Can you quantify the accuracy, precision, and recall on a shuffled version of the wine dataset and logistic regression? `seed=0`
 -   Is there any columns that need normalisation? Any outliers (2 std. dev away)? Why/why not?
 -   Create a balanced version of the wine dataset between red and white classes. Does fitting this normalized version into our model makes training results better?