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Method of analysis of bank customer churn based on random forest
Method of analysis of bank customer churn based on random forest
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机译：基于随机森林的银行客户流失分析方法
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#$%^&*AU2019101197A420200123.pdf#####ABSTRACT The invention lies in the field of data classification. It is a bank account loss recognition system with a wide range of models based on deep learning. The invention consists of the following procedures. Firstly, we preprocessed data via data normalization, missing value processing and also correlation analysis in order to make the implementation of following steps more convenient and efficient. Secondly, the data set having been selected and preprocessed is divided into training set and test set. At the third stage, we applied the training data on various models ranging from Random Forest, Decision Tree, Support vector Machine (SVM), Logistic Regression to Extreme Learning machines (ELM). During this process, we discovered the best functions for each model by using gradient descent and adjusting parameters of the network like base learning rate. Then, testing data is also applied on the each model that we have researched in order to test the accuracy of each. 1
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