MembershipWoes
OpenML dataset with id 44225
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22106810/MembershipWoes.arff
Upload date: 5 October 2022
Dataset Characteristics
Number of classes: 2
Number of features: 15 (numeric: 8, symbolic: 0 and in total binary: 0 )
Number of instances: 10,362
Number of instances with missing values: 8,024
Number of missing values: 12,224
A certain premium club boasts a large customer membership. The members pay an annual membership fee in return for using the exclusive facilities offered by this club. The fees are customized for every member's personal package. In the last few years, however, the club has been facing an issue with a lot of members cancelling their memberships. The club management plans to address this issue by proactively addressing customer grievances. They, however, do not have enough bandwidth to reach out to the entire customer base individually and are looking to see whether a statistical approach can help them identify customers at risk. The aim is to help them identify these customers.
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