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Table 2 Proposed churn modeling example-dependent cost matrix

From: A novel cost-sensitive framework for customer churn predictive modeling

 

Actual positive

Actual negative

 

y i =1

y i =0

Predicted Positive

\(\phantom {\dot {i}\!}C_{{TP}_{i}}=\gamma _{i}C_{o_{i}}+(1-\gamma _{i})({CLV}_{i}+C_{a})\)

\(\phantom {\dot {i}\!}C_{{FP}_{i}}=C_{o_{i}}+C_{a}\)

c i =1

  

Predicted Negative

\(\phantom {\dot {i}\!}C_{{FN}_{i}}={CLV}_{i}\)

\(\phantom {\dot {i}\!}C_{{TN}_{i}}=0\)

c i =0