With recent developments in big data, we’ve been given more access to data in general and high-dimensional data. Consequently, the performance of machine learning models has improved by a large margin. On the other hand, there are significant features often collected or generated by different sensors and methods that can influence the model accuracy in a harmful way that needs careful consideration, Not only that, but these features can demand a lot of computational resources to build and maintain the model.