Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Rupali Borse Prof. priyanka kedar
Abstract
Feature Selection Is A Key Pre-preparing Procedure For Choosing More Pertinent Highlights And Destroying The Repetitive Qualities. Finding The More Important Highlights For The Objective Is A Fundamental Movement To Enhance The Prescient Exactness Of The
Keywords
Bayes Theorem
Naive Bayesian Classifier
Feature Selection
Irrelevant And Redundant Attributes.
Paper ID
IJSARTV4I523267
Publication Date
May 2, 2018
Research Area
Computer Engineering