diff --git a/Default of Credit Card Clients/README.md b/Default of Credit Card Clients/README.md index e69de29..4780de2 100644 --- a/Default of Credit Card Clients/README.md +++ b/Default of Credit Card Clients/README.md @@ -0,0 +1,63 @@ +Data Science Dojo
+Copyright (c) 2016 - 2019 + +--- + +**Level:** Intermediate
+**Recommended Use:** Classification Models
+**Domain:** Business/Finance
+ +## Default of Credit Card Clients Data Set + +### Estimate the probability of Default + + +--- +![](388737-PC5WB4-539.jpg) +--- + +This *intermediate* level data set has 30000 rows and 24 columns. +The data set could be used to estimate the probability of default payment by credit card client using the data provided. +This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **classification modelling techniques**. +Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set: + +--- + +### Data Dictionary + +| Column Position | Atrribute Name | Definition | Data Type | Example | % Null Ratios | +|------------------- |------------------------------- |--------------------------------------------------------------------------------------------------------------------------------------- |-------------- |---------------------- |--------------- | +| 1 | X1: LIMIT_BAL | Amount of the given credit (NT dollar): it includes both the individual consumer credit and his/her family (supplementary) credit | Quantitative | 50000, 320000, 40000 | 0 | +| 2 | X2: SEX | Gender (1 = male; 2 = female) | Quantitative | 1, 2 | 0 | +| 3 | X3: EDUCATION | Education (1 = graduate school; 2 = university; 3 = high school; 4 = others) | Quantitative | 1, 2, 3 | 0 | +| 4 | X4: MARRIAGE | Marital status (1 = married; 2 = single; 3 = others) | Quantitative | 1, 2, 3 | 0 | +| 5 | X5: AGE | Age (year) | Quantitative | 37, 29, 43 | 0 | +| 6 | X6: PAY_0 | History of past payment. The repayment status in September, 2005* | Quantitative | 0, 1, -1 | 0 | +| 7 | X7: PAY_2 | History of past payment. The repayment status in August, 2005* | Quantitative | 0, 2, -2 | 0 | +| 8 | X8: PAY_3 | History of past payment. The repayment status in July, 2005* | Quantitative | 0, -2, -1 | 0 | +| 9 | X9: PAY_4 | History of past payment. The repayment status in June, 2005* | Quantitative | 0, 2, 1 | 0 | +| 10 | X10: PAY_5 | History of past payment. The repayment status in May, 2005* | Quantitative | 1, -2, 1 | 0 | +| 11 | X11: PAY_6 | History of past payment. The repayment status in April, 2005* | Quantitative | 0, 1, -1 | 0 | +| 12 | X12: BILL_AMT1 | Amount of bill statement in September, 2005 (NT dollar) | Quantitative | 46990, 58267, 38257 | 0 | +| 13 | X13: BILL_AMT2 | Amount of bill statement in August, 2005 (NT dollar) | Quantitative | 48233, 59246, 38901 | 0 | +| 14 | X14: BILL_AMT3 | Amount of bill statement in July, 2005 (NT dollar) | Quantitative | 49291, 60184, 38103 | 0 | +| 15 | X15: BILL_AMT4 | Amount of bill statement in June, 2005 (NT dollar) | Quantitative | 28314, 58622, 36207 | 0 | +| 16 | X16: BILL_AMT5 | Amount of bill statement in May, 2005 (NT dollar) | Quantitative | 28959, 62307, 33138 | 0 | +| 17 | X17: BILL_AMT6 | Amount of bill statement in April, 2005 (NT dollar) | Quantitative | 29547, 63526, 31339 | 0 | +| 18 | X18: PAY_AMT1 | Amount of previous payment. Paid in September, 2005 (NT dollar) | Quantitative | 2000, 2500, 1700 | 0 | +| 19 | X19: PAY_AMT2 | Amount of previous payment. Paid in August, 2005 (NT dollar) | Quantitative | 2019, 2500, 1504 | 0 | +| 20 | X20: PAY_AMT3 | Amount of previous payment. Paid in July, 2005 (NT dollar) | Quantitative | 1200, 0, 1200 | 0 | +| 21 | X21: PAY_AMT4 | Amount of previous payment. Paid in June, 2005 (NT dollar) | Quantitative | 1100, 4800, 1500 | 0 | +| 22 | X22: PAY_AMT5 | Amount of previous payment. Paid in May, 2005 (NT dollar) | Quantitative | 1069, 2400, 1500 | 0 | +| 23 | X23: PAY_AMT6 | Amount of previous payment. Paid in April, 2005 (NT dollar) | Quantitative | 1000, 1600, 1000 | 0 | +| 24 | Y: Default Payment Next Month | Probability of Default. (1: Yes, 0: No) | Quantitative | 1, 0 | 0 |--- + +*The measurement scale for the repayment status is: -1 = pay duly; 1 = payment delay for one month; 2 = payment delay for two months; . . .; 8 = payment delay for eight months; 9 = payment delay for nine months and above. + +### Acknowledgement + +This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Default of Credit Card Clients Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients). +The UCI page mentions the following publication as the original source of the data set: + +*Yeh, I. C., & Lien, C. H. (2009). The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Expert Systems with Applications, 36(2), 2473-2480* +