A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification

In machine learning and data science, feature selection is considered as a crucial step of data preprocessing. When we directly apply the raw data for classification or clustering purposes, sometimes we observe that the learning algorithms do not perform well. One possible reason for this is the pre...

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Bibliographic Details
Published in:Sensors
Main Authors: Moumita Mandal, Pawan Kumar Singh, Muhammad Fazal Ijaz, Jana Shafi, Ram Sarkar
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/16/5571