Feature selection in machine learning
December 14, 2018
The concept of “garbage in–garbage out” applies when building a data-driven predictive model. The time for training a model increase exponentially with the number of features. Too many features also becomes a hurdle when attempting to select meaningful features. Moreover, the risk of overfitting increases as the number of features increases given limited number of […]