{"ref":"master","ref_type":"branch","master_branch":"master","description":"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 Machine Learning Repository.","pusher_type":"user"}
{"actor":{"display_login":"pratheekcr"}}