Assignment 1 KNN Classification - Completed

[VincentSchaik]

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

• Implemented Assignment-1 KNN classification on the Wine dataset with scaling, train/test split, grid search, and model evaluation.

What did you learn from the changes you have made?

• Learned how to standardize features, tune hyperparameters with cross-validation, and evaluate models with multiple metrics.

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

• Splitting predictors and targets separately vs. splitting the whole DataFrame at once.

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

• Splitting Predictors and Target Separately

How were these changes tested?

• Verified dataset sizes, class balance, accuracy, and test performance with accuracy, confusion matrix, and precision/recall.

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

• N/A

Checklist

• I can confirm that my changes are working as intended

[VincentSchaik]

Disregard PR.