For the purpose of improving the predictive accuracy and interpret ability of churn prediction model, TreeLogit model, which integrates the advantage of AD ...
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Prediction and explanation are two main functions of churn prediction model [4] [5]. Through prediction, the enterprises can focus on a small scale of customers.
For the purpose of improving the predictive accuracy and interpretability of churn prediction model, TreeLogit model, which integrates the advantage of ...
In this paper, we propose ADTreesLogit, a model that integrates the advantage of ADTrees model and the logistic regression model, to improve the predictive ...
Aug 9, 2008 · In this paper, we propose ADTreesLogit, a model that integrates the advantage of ADTrees model and the logistic regression model, ...
Missing: TreeLogit | Show results with:TreeLogit
In this paper, we propose ADTreesLogit, a model that integrates the advantage of ADTrees model and the logistic regression model, to improve the predictive ...
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Posted: Jan 30, 2022
Posted: Jan 30, 2022
Apr 5, 2023 · The goal is to predict whether a customer will switch to another telecommunications provider using a supervised learning method called Decision Tree Classifier.
Investigating customer churn in banking: a machine learning ...
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It integrates machine-learning (ML) algorithms or statistical models to forecast customer churn. By generating churn predictions and visualizing the probability ...
Oct 11, 2009 · Decision tree, neural network and logistic regression were applied frequently as models of customer churn prediction, but the application of ...