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This project uses the Wrapper methods such as Forward Feature Selection and Backward Feature Elimination algorithms to select the best features of the dataset that can be used in classification. Three datasets are used, out of which two are custom datasets are used to test the model. An other dataset is the 'Wine Dataset' taken from the UCI Mach…

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Name		Name	Last commit message	Last commit date
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.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
cs58.txt		cs58.txt
cs9.txt		cs9.txt
cs_plot2.py		cs_plot2.py
final.py		final.py
plot_ml.py		plot_ml.py
project2-summary.pdf		project2-summary.pdf
wine.py		wine.py
wine.txt		wine.txt

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Feature Selection with k-Nearest Neighbors

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This project uses the Wrapper methods such as Forward Feature Selection and Backward Feature Elimination algorithms to select the best features of the dataset that can be used in classification. Three datasets are used, out of which two are custom datasets are used to test the model. An other dataset is the 'Wine Dataset' taken from the UCI Mach…

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