Predict of Breast Cancer Using Machine Learning Algorithms
Author(s):
Hardi Patel, Dr Mehul P. Barot
Keywords:
Machine Learning, Random Forest, Breast Cancer, Benign, Malignant, Tumor.
Abstract
Breast Cancer is the second cause of death among women. Early prediction of breast cancer will help with the survival of breast cancer patient. Machine Learning and Data Mining have been widely used in the prediction of breast cancer and on the early detection of breast cancer. This paper compares the machine learning techniques which are used for the prediction of breast cancer and deriving results which is the best algorithm to predict breast cancer. In this paper the machine learning algorithms are compared to achieve most accurate prediction result, we are using Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Support Vector Machine (SVM) and K-nearest Neighbor (KNN).
Article Details
Unique Paper ID: 154733

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 419 - 427
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies