Performance analysis of different classification algorithms used for cancer datasets

Citation data:

International Journal of Pharmaceutical Research, ISSN: 0975-2366, Vol: 10, Issue: 4, Page: 227-233

Publication Year:
2018

No metrics available.

DOI:
10.31838/ijpr/2018.10.04.051
Author(s):
S. Selvam; P. Mayilvahanan
Tags:
Pharmacology, Toxicology and Pharmaceutics
article description
Classification is a major technique in data mining and most used in different fields. Classification is a data mining function which assigns object in a collection to target categories or classes. Classification models predict categorical class labels. The aim of classification is to accurately predict the target class for each problem in the data. This paper collects different cancer dataset and three different classification algorithms applied to generate the accuracy of the algorithm and find the best algorithm.