Classification of enjoy sport problem using version spaces and the Candidate Elimination algorithm

Author

Babu, R. Veera ; Kumar, B. Siva Ayyappa ; Gargi, M.

Author_Institution

Dept. of Comput. Sci. & Eng., Vignan´s Lara Inst. of Technol. & Sci., Guntur, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

5

Abstract

This paper adopts Version Space and the Candidate Elimination approach to determine whether a person enjoys favorite water sport or not. This algorithm approach uses different kinds of attributes to predict the value of Enjoy Sport of an arbitrary day. We derive Specific hypothesis `S´ and generalized hypotheses `G´ sets which finally results in the version space with all describable consistent hypothesis. In this we also gave the confidence rating for approximating a Boolean-valued function from the given examples.

Keywords

Boolean functions; pattern classification; Boolean-valued function; candidate elimination algorithm; classification; enjoy sport problem; version space; water sport; Approximation algorithms; Classification algorithms; Computer science; Computers; Testing; Training; Wind forecasting; Boolean-valued function; Class label; Confidence rating; Consistent Hypothesis; Enjoy sport; General Hypothesis; Specific Hypothesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on

Conference_Location

Nagercoil

Type

conf

DOI

10.1109/ICCPCT.2015.7159351

Filename

7159351