Modeling CBR using Python for Football Matches

Abstract

Case-based reasoning(CBR) is a growing topic in machine learning. CBR is a system which contains 4Rs, retrieve, reuse, revise and retain. When a problem enters the system, all the cases which are similer to the problem are retrieved, then adaptation process is used and revised and then stored in the casebase. The observed problems of the system are lack of knowledge, adaptation is very difficult and different domain need different adaptation process bor better result. In this paper, we get to know what is case-based reasoning and its adaptation methods. The literature survey tells that every domain may need different adaptation methods. We have used a few adaptation methods in python to a football match dataset and found which adaptation method gives the best accuracy. We have used myCBR for getting retrieved cases.