Feature selection using FRUFS and VevestaX
In machine learning problems, feature selection helps in reducing overfitting, removes noisy variables, reduces memory footprint. In this article we present a new technique, namely FRUFS. The algorithm is based on the idea that the most important feature is the one that can largely represent all other features. Similarly, the second most important feature can …
