Performance Analysis of Classifiers using Data Mining Tool

Akshay Jain

ISBN 10: 3330331526 / ISBN 13: 9783330331525

Edité par LAP LAMBERT Academic Publishing Aug 2017, 2017

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms. 56 pp. Englisch. N° de réf. du vendeur 9783330331525

Détails bibliographiques

Titre : Performance Analysis of Classifiers using ...

Éditeur : LAP LAMBERT Academic Publishing Aug 2017

Date d'édition : 2017

Reliure : Taschenbuch

Etat : Neu

A propos de ce titre

Synopsis :

Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms.