A Construction Method of Power Customer Value Evaluation Model
A technology of customer value and evaluation model, applied in the field of power system, can solve the problem of inaccurately distinguishing the difference of customer classification
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Embodiment 1
[0055] see figure 1 As shown, the construction method of the power customer value evaluation model provided by the embodiment of the present invention includes:
[0056] S101, determining the index system for evaluating the current value of the customer and the potential value of the customer;
[0057] S102. Obtain customer data according to the determined index system for evaluating the current value of the customer and the potential value of the customer;
[0058] S103. According to the obtained customer data, classify and label the current value and potential value of the customer, and obtain a sample set for building a decision tree prediction model for the current value of the user and a sample set for building a decision tree prediction model for the user's potential value;
[0059] S104. Construct a user's current value decision tree prediction model according to the obtained sample set for constructing the user's current value decision tree prediction model, and const...
Embodiment 2
[0101] see Figure 5 As shown, the construction method of the power customer value evaluation model provided by the embodiment of the present invention includes:
[0102] S101, determining the index system for evaluating the current value of the customer and the potential value of the customer;
[0103] S102. Obtain customer data according to the determined index system for evaluating the current value of the customer and the potential value of the customer;
[0104] S103. According to the obtained customer data, classify and label the current value and potential value of the customer, and obtain a sample set for building a decision tree prediction model for the current value of the user and a sample set for building a decision tree prediction model for the user's potential value;
[0105] S104. Construct a user's current value decision tree prediction model according to the obtained sample set for constructing the user's current value decision tree prediction model, and cons...
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