A survey on evolutionary techniques for feature selection
A. Sheik Abdullah, C N Ramya, V. Priyadharsini, C R Reshma, Selvakumar Sellamuthu · 2017
The most important classification difficulty is feature selection. Feature selection is widely used data analytics and machine learning tasks and it is one of the data preprocessing tasks. It does not produce new features. It attempts diminish the attributes by removing irrelevant attributes using an efficient and robust feature selection method. If the dataset contains irrelevant attributes it may lead to poor performance of the classifier. A significant method is used to select the appropriate or relevant set of features. In this paper, several feature selection algorithms using evolutionary techniques are presented. Mostly evolutionary techniques are used for finding the relevant features corresponding to the disease.