Negative Correlation Learning for Customer Churn Prediction: A Comparison Study
Table 5
Tuning parameters for data mining techniques used in the comparison study.
Method
Parameters
GP
Population size = 1000, Maximum number of generations = 100, functions = {*, /, −, +, IF, , , tree max depth = 10, tree max length = 30 elites = 1, selection mechanism = tournament selection crossover point probability = 90%, mutation = probability 15%