Abstract
The credit card fraud detection is the prediction analysis method which can predict future possibilities based on the current information. The credit card fraud detection is the problem of prediction analysis. The credit card fraud detection has the various phases which are pre-processing, feature extraction and classification. In the previous research work, the voting classification method is designed. To reduce complexity of voting classification method and to improve accuracy ensemble classification is designed in this research work. The existing and proposed methods are implemented in Python and results are analyzed in terms of accuracy. It is analyzed that accuracy of proposed method is high as compared to existing method.
Published Version
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