International Journal of Scientific and Research Publications

Home
About Us
Editorial Board

Online Publication

Log In
New User?
       Register Now!
Forgot Password?
       Email Password!


Call For Papers

Call for Research Paper

Authors

Online Submission
Paper Submission Guidelines
Online Publication Charge
Print Publication Charge
How to publish research paper
Publication Certificate
Research Catalogue
Resources
FAQs

Reviewer

Join Reviewer Panel
Reviewer Guidelines

IJSRP Publications

E-Journal
Print Journal

Downloads

IJSRP Paper Format
Instructions

Contact Us

Feedback Form
Contact Us
Site Map

IJSRP, Volume 8, Issue 5, May 2018 Edition [ISSN 2250-3153]



      Thaung Myint Htun, Zaw Tun

Abstract: Machine Learning is the upcoming research area to solve various problems and classification is one of main problems in the field of machine learning. This paper describes various Supervised Machine Learning (ML) classification techniques, compares various supervised learning algorithms as well as determines the most efficient classification algorithm based on the dataset. Wine-quality-white dataset is taken from UCI machine learning repository. Six different machine learning algorithms are considered: Logistic Regression (LR), Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Classification and Regression Trees (CART), Gaussian Naïve Bayes (NB) and Support Vector Machine (SVM). By tuning of neighbors for KNN, the best configuration is K= 1.

[Reference this Paper]   [BACK]

Ooops! It appears you don't have a PDF plugin for this barrPostingser. you can click here to download the PDF file.

Reference this Research Paper (copy & paste below code):

Thaung Myint Htun, Zaw Tun (2018); Algorithm Tuning from Comparative Analysis of Classification Algorithms; International Journal of Scientific and Research Publications (IJSRP) 8(5) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.8.5.2018.p7767

IJSRP PUBLICATIONS

Home

About Us
Editorial Board
Call for Paper

Call for Research Paper
Paper Status
IJSRP Paper Format
Join Us

Download e-journal
Join Forum
Invite Friends
Subscribe
Get Social with Us!



Copyright © 2011-2016, IJSRP Inc., All rights reserved.