View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Landmark University Repository World Research Journal of Agricultural & Biosystems Engineering Volume 1, Issue 1, 2012, pp.-06-11. Available online at http://www.bioinfo.in/contents.php?id=250 AGRICULTURAL MITIGATION AND ADAPTATION TO CLIMATE CHANGE IN NIGERIA: AN OVERVIEW BELLO O.B.1*, WAHAB M.K.A.1, GANIYU O.T.1, AZEEZ M.A.2, ABDULMALIQ S.Y.3, IGE S.A.4, MAHAMOOD J.5, OLULEYE F.6, AFOLABI M.S.7 1Department of Biological Sciences, Fountain University, Osogbo, Osun State, Nigeria. 2Department of Pure and Applied, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 3Department of Agronomy, Ibrahim Badamasi Babangida University, Lapai, Niger State, Nigeria. 4Department of Agronomy, University of Ilorin, Ilorin, Nigeria. 5Lower Niger River Basin Development Authority, Ilorin, Kwara State, Nigeria 6Department of Crop production, Kwara State University, Malete, Ilorin, Kwara State, Nigeria. 7Department of Crop Science, Landmark University, Omuaran, Kwara State, Nigeria. *Corresponding Author: Email-
[email protected] Received: July 11, 2012; Accepted: July 19, 2012 Abstract- In this paper we put forward a hybrid stacking ensemble approach for classifiers which is found to be a better choice than select- ing the best base level classifier. This paper also describes and compares various data mining methodologies for the domain called em- ployment prediction. The proposed application helps the prospective students to make wise career decisions. A student enters his Entrance Rank, Gender (M/F), Sector (rural/urban) and Reservation category. Based on the entered information the data mining model will return which branch of study is Excellent, Good, Average or poor for him/her.