Bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] The smallest datasets are provided to test more computationally demanding machine learning algorithms (e.g., SVM). There are four datasets: 1) bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014]. Bank-full.csv (Ensemble Techniques) Data Card Code (11) Discussion (0) About Dataset Data Description: The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. This data set is a copy of data set no. 1 ( bank-additional-full.csv) from the list above with one input feature (representing duration of phone call) removed. The following is a note from the variable description in the original data set: duration: last contact duration, in seconds (numeric). The full dataset (bank-additional-full.csv) was described and analyzed in: S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems (2014), doi:10.1016/j.dss.2014.03.001. Relevant Information:. 30 nov. 2019 · bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. 12 avr. 2021 · There are four datasets: 1) bank-additional-full.csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al., 2014] 2) bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. 3) bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset.