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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