Analysis of credit card transactions of customers to predict whether a customer is likely to default based on their past history and background through machine learning models
Dataset:
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The dataset ”card.csv” has been obtained from UCI repository: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients It contains payment information of 30,000 credit card holders obtained from a bank in Tai- wan. Each data sample is described by 23 feature attributes (columns B to X). The target feature (column Y) to be predicted is binary valued 0 (= not default) or 1 (= default).
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Additional references for this dataset: • https://www.kaggle.com/search?q=credit+card+client • I-ChengYeh and Che-huiLien, The comparisons of data mining techniques for the pre- dictive accuracy of probability of default of credit card clients, Expert Systems with Applications Volume 36, Issue 2, Part 1, March 2009, Pages 2473-2480.