#Use the Iris dataset to build and evaluate a K-Nearest Neighbors classifier. ...
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#Use the Iris dataset to build and evaluate a K-Nearest Neighbors classifier.
Try different values of K (e.g., 1, 3, 5, 10). How does changing K affect the accuracy? Change the test_size in the train_test_split to 0.3 or 0.1. Does a larger test set affect performance?
does crossvalidation will give you new information for the k values?
https://colab.research.google.com/drive/1G9ng-Sj4NP8mNFjvrhY1owfxPyeUYjEv#scrollTo=rV-bdz13UBKh
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