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:

Category: Marketing

# Rows: 50,000 # Columns: 230

Target: CHURN


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, ...

Machine Learning Use Case Marketing

Area Under ROC Curve (AUC)

Kddcup09_Churn Auc

Accuracy (ACC)

Kddcup09_Churn Acc

Balanced Accuracy (BALACC)

Kddcup09_Churn Balacc

Cross-Entropy Loss (LOGLOSS)

Kddcup09_Churn Logloss

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