Classification Model of Student Placement Datasets and Evolution of Classifiers of Weka Tool

Abstract

Abstract: Placement of students is one of the most important objective of an educational institution. Reputation and yearly admissions of an institution invariably depend on the placements it provides it students with .Placement is a foremost expectation concerning both the institute and the student's perspective. This paper analyze the different data mining techniques and implement data mining technique to extract Knowledge from MBA student placement datasets. In this regard we takes student placement data to extract pattern with using supervised learning techniques of data mining. In this paper we have used WEKA software for experimental work and author also try to evaluate some supervised learning classifiers of WEKA with using student placement dataset.