This is a practice competition to create a predictive model by using a practical data.
The data is related with direct marketing campaigns and actually used in the practical field. Try out your skills to create a better model than the existing benchmark model proposed in the paper.
We hope this competition will be a good opportunity for expanding your data science skills and modeling techniques.
Data
The data is related with direct marketing campaigns of a certain banking institution. The classification goal is to predict if the client will subscribe (yes/no) a term deposit.
Please see Download Data page for details.
This competition uses data sited from the following website and paper:
Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
[Moro et al., 2011] S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM'2011, pp. 117-121, Guimarães, Portugal, October, 2011. EUROSIS.