2017
DOI: 10.3844/jcssp.2017.355.362
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Comparison Between Selective Sampling and Random Undersampling for Classification of Customer Defection Using Support Vector Machine

Abstract: Quality of a product determines the customer loyalty and it can be measured by conducting a survey. Company 'X' that sells three kinds of product (low, medium and high price) collected very large dataset through an online survey and recorded customer defection and their characteristic. The measured variables are Update Accumulation, Product Price, Customer Type, Delivery Status and Customer Defection. The data has an imbalanced response that could mislead the accuracy of classification if it is analyzed using … Show more

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