Commit 1: Attempt 1#1
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Shiraz-Latif
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Apr 24, 2026
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in cell [28], when you split the data, you used the original X (unscaled data) instead of predictors_standardized --> that lead to much lower accuracy of 0.7 instead of expected 0.9
Resubmit please.
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Hi Shiraz,
Thank you for pointing this out. I have resubmitted the assignment.
Best regards,
Peter
From: Shiraz-Latif ***@***.***>
Date: Friday, April 24, 2026 at 12:08 AM
To: enterprise378/LCR ***@***.***>
Cc: Peter Wu ***@***.***>; Author ***@***.***>
Subject: Re: [enterprise378/LCR] Commit 1: Attempt 1 (PR #1)
@Shiraz-Latif requested changes on this pull request.
in cell [28], when you split the data, you used the original X (unscaled data) instead of predictors_standardized --> that lead to much lower accuracy of 0.7 instead of expected 0.9
Resubmit please.
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Shiraz-Latif
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Apr 27, 2026
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Thanks for incorporating the feedback.
Assignment is complete
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
Adding code
What did you learn from the changes you have made?
Clearly identifying features and response variables are important.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
No
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
Remembering the steps to train a KNN model.
How were these changes tested?
The code was executed and the outputs verified.
A reference to a related issue in your repository (if applicable)
Checklist