Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model
These days machine learning is one of the most widely used approaches in every industry. And among many techniques of machine learning, classification is the most used one. In this paper, various classification models are used to draw some conclusion for many input variables and one output variable of banking data and classify the output variable into two classes. Various statistics are shown which are generated during classification. The work achieves around 90% accuracy by using most of the classifier.
Keywords: Machine learning, complex tree, linear discriminant, fine KNN, linear SVM, multi-layer perceptron
Cite this Article
Soumen Mukherjee, Arup Kumar Bhattacharjee. Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model. Journal of Advancements in Robotics. 2017; 4(2): 5–8p.
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