A data-driven approach to predict the success of bank telemarketing
Assessment of a real problem of bank telemarketing to sell long-term deposits A data-driven approach using newly proposed social and economic characteristics Focus on feature engineering, resulting in a highly tuned model of 22 features Comparison of four data mining models under a realistic rolling-window scheme Results allow targeting 79% of buyers by selecting the half better classified.
telemarketing bank deposits savings classification neural networks variable selection