Uses The Bagging Algorithm of Classification Method With Weka Tool For Prediction Technique
Classification is the more important concept of data mining and it is a form of data analysis. Classifiers increasing
the accuracy in data mining techniques. This paper presents the analysis of accuracy for forest fire database in UCI machine
learning with the help of classification techniques. This analysis work is performed with bagging algorithm and WEKA tool.
Keywords- Bagging Algorithm, Classification Concept, Forest Fire Data Set, WEKA Tool.