There are four datasets:

• There are two projects in this respository.
• The Following are the summary of the projects:
• The First one:
• bank-additional-full.csv(changed to bank-marketting-data) with all examples (26874) and 20 inputs,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.
• bank-full.csv with all examples and 17 inputs, ordered by date (older version of this dataset with less inputs).
• bank.csv with 10% of the examples and 17 inputs, randomly selected from 3 (older version of this dataset with less inputs).
• The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).

The Second one: The data set allows for several new combinations of attributes and attribute exclusions, or the modification of the attribute type (categorical, integer, or real) depending on the purpose of the research.The data set (Absenteeism at work - Part I) was used in academic research at the Universidade Nove de Julho - Postgraduate Program in Informatics and Knowledge Management.

• The goal of the projects is to determine the major cause of Absenteesim in the work place.