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Feature-Selection-using-F-test

Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and using the new Dataset to train the models and later test the models with the help of testing data

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Implemented Feature selection algorithm (F-Test) on Genome dataset to select best 100 features out of 4434 features based on their f-scores, and used the new dataset to train Machine Learning models, and later test the models with the help of testing data

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