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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

working with the wine data set to build a knn model

What did you learn from the changes you have made?

learned about stratify, splitting test and training data

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

I thought about adding classes back in after standardizing the data but decided it was not needed

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

I needed some help in the chat to figure out how to work with classes and the standardized predictors in different data sets

How were these changes tested?

tested on the data set

A reference to a related issue in your repository (if applicable)

no issues

Checklist

  • I can confirm that my changes are working as intended

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