.

ISSN 2063-5346
For urgent queries please contact : +918130348310

COMPARISON BASED ON EXAMINATION OF MACHINE LEARNING TECHNIQUES FOR MINIMIZING THE AMOUNT OF FEATURES UTILIZED IN BREAST CANCER FORECAST

Main Article Content

Dr. Prashant Sharma Dr. Vaibhav Narawade Avantika Mahadik
» doi: 10.48047/ecb/2023.12.si4.1822

Abstract

We explored several algorithms used in machine learning for predicting breast cancer in this research. Our primary objective is to find the optimum algorithm from the numerous machine learning algorithms which can be utilized for the prediction of breast cancer with fewer features. This work's principal objective is to see how feature selection contributes to the highest prediction accuracy.

Article Details