koreaditya/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 used the new dataset to train Machine Learning models, and later test the models with the help of testing data

Python