Feature Selection is a process of finding the best subset of attributes which better explain the relationship of independent (don’t train your model using correlated data since this reduces the accuracy) variables with target variables.
You can select the useful features based on various metrics such as domain knowledge or experience. We select feature(s) which may have higher impact on target variable.
Feature Selection Resources:
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.