Completed LCR assignment_1

[Alexatug]

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

I am trying to add code to get information from dataset, and explain some concepts in classification such as standardization and setting random seed.

What did you learn from the changes you have made?

I learnt how to split datasets into training and testing datasets, perform standardization, set a random seed, use KNeighborsClassifier to fit the model, use scikit-learn, numpy, and pandas in classification. I also learnt training, testing, and evaluating a classification model.

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

None

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

I faced challenges of removing and re-adding the response variables when performing standardization and data-splitting.
I overcame it by doing internet search and participating in work period

How were these changes tested?

The changes were tested and worked well

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

Checklist

• I can confirm that my changes are working as intended

[juliagallucci]

accidently sent PR to main DSI repo