Use case on the KDDCup09_churn dataset

Dataset KDDCup09_churn

Machine Learning Task: Binary classification

This is a KDDCup09_churn database. The KDD Cup 2009 offers the opportunity to work on large marketing databases from the French Telecom company Orange to predict customers' propensity to switch providers (churn). Churn is one of two primary factors that determine the steady-state level of customers a business will support. In its broadest sense, the churn rate is a measure of the number of individuals or items moving into or out of a collection over a specific period of time.

Available at OpenML: https://openml.org/d/1112

Category: Marketing

# Rows: 50,000 # Columns: 230

Target: CHURN

Features

Numeric: Var1, Var2, Var3, Var4, Var5, Var6, Var7, Var8, Var9, Var10, Var11, Var12, Var13, Var14, Var15, Var16, Var17, Var18, Var19, Var20, ...

Nominal: Var191, Var192, Var193, Var194, Var195, Var196, Var197, Var198, Var199, Var200, Var201, Var202, Var203, Var204, Var205, Var206, Var207, Var208, Var210, Var211, ...