Classification Accuracy Of Statistical Software Performance For Default Of Credit Card Clients

1310 Words Dec 15th, 2016 6 Pages
The Comparisons of Classification Accuracy of Statistical Software Performance for Default of Credit Card Clients

Meixian Wang

University of New Hampshire

Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Literature Review on Seven Data Mining Techniques . . . . . . . . . . . . . . . . . 6 1.4 Methods for Classification Assessment and Comparison . . . . . . . . . . . . . . . 8

2 Classification Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.1 Description of the Software and Data . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2 Classification Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.3 Accuracy Comparison . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.4 Conclusion . .…

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