Machine Learning, Dimensionality Reduction, Big Data, Big Data Analytics, Statistics.
model because irrelevant features or noise leaves an adverse impact on the performance accuracy of machine leaning model. It is useful to lower model training time and lower the data storage requirement. It prevents from curse of dimensionality It eliminates multi collinearity which results in