The data is related with direct marketing campaigns of a Portuguese banking institution.The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed.
There are two datasets:
1) bank-full.csv with all examples, ordered by date (from May 2008 to November 2010).
2) bank.csv with 10% of the examples (4521), randomly selected from bank-full.csv.
Data mining algorithms applied:
Neural Nets, Support Vector Machine (SVM), Linear Discriminants, Quadratic Discriminants, Mixture Discriminant Model, Generalized Linear Model(GLM) with Logistic Regression, Generalized Additive Models(GAM) with All Variables, GAM with Stepwise Variable Selection, rPart Trees
Models are evaluated by ROC curve