{ "data_id": "55", "name": "KDDCup09_churn", "exact_name": "KDDCup09_churn", "version": 1, "version_label": null, "description": "**Author**: Orange Telecom \n**Source**: [ACM KDD Cup](http:\/\/www.sigkdd.org\/kddcup\/index.php) - 2009 \n**Please cite**: \n\nThe KDD Cup 2009 offers the opportunity to work on large marketing databases from the French Telecom company Orange to predict the propensity of customers to switch provider (churn). \n\nChurn (wikipedia definition): Churn rate is also sometimes called attrition rate. It is one of two primary factors that determine\nthe steady-state level of customers a business will support. In its broadest sense, churn rate is a measure of the number\nof individuals or items moving into or out of a collection over a specific period of time.\n\nThe term is used in many contexts, but is most widely applied in business with respect to a contractual customer base. For instance, it is an important factor for any business with a subscriber-based service model, including mobile telephone networks and pay TV operators. The term is also used to refer to participant turnover in peer-to-peer networks.\n\nThe training set contains 50,000 examples.\nThe first predictive 190 variables are numerical and the last 40 predictive variables are categorical.\nThe last target variable is binary {-1,1}.", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": null, "contributor": null, "date": "2014-10-07 00:08:02", "update_comment": null, "last_update": "2014-10-07 00:08:02", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/53995\/KDDCup09_churn.arff", "default_target_attribute": "CHURN", "row_id_attribute": null, "ignore_attribute": null, "runs": 12, "suggest": { "input": [ "KDDCup09_churn", "The KDD Cup 2009 offers the opportunity to work on large marketing databases from the French Telecom company Orange to predict the propensity of customers to switch provider (churn). 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