What Does Feature Selection Mean?
In machine learning, feature selection is the use of specific variables or data points to maximize efficiency in this type of advanced data science.
Techopedia Explains Feature Selection
With feature selection, engineers and data scientists are able to tune out a lot of the “noise” in a given system. Using feature selection helps to discard redundant or irrelevant data, and this culling can make the machine learning results stronger. For instance, in a marine biology project, researchers could use feature selection to only select certain classifying information on one or more surveyed species, and eliminate other data that is not central to the project.
