Subscribing prediction of term deposit based on decision tree, random forest and support vector machine
Yifan Chen
Abstract:To classify customers and predict their behaviour based on some of their features and what they do before is most people want to do. This study finds a data set about bank customers from Kaggle and use three different classification models to classify customers and predict whether they will subscribe a term deposit based on some of their features. The three classification models are decision tree model, random forest model and support vector machine model. Firstly, using these models to get the feature importa… Show more
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