Hi! How are you? I am enjoying beautiful sunny spring morning. Couple days ago I was looking for well-known dataset – german credit. It is a good starter for practicing credit risk scoring. Unfourtuanetly I have found only original file in .data format without column names. I have prepared CSV and R file to quick use and I decided to share it with you and hopefully save you couple minutes of your time.
Here is a link to original file in UCI Machine Learning Repository (link).
And here you can find ready to use:
German Credit Data Set Arff Downloads
- CSV (link),
- R object (link).
If you would like to take a look at code I’ve used to prepare those files here is a link to github repository.
- The German Credit Data contains data on 20 variables and the classification whether an applicant is considered a Good or a Bad credit risk for 1000 loan applicants. Here is a link to the German Credit data (right-click and 'save as'). A predictive model developed on this data is expected to provide a bank manager guidance for making a decision.
- 3061 Downloads: Census Income. Predict if an individual makes greater or less than $50000 per year. Instances: 48842, Attributes: 15, Tasks: Classification. 2958 Downloads: German Credit Data. Determine customer credit rating (good vs bad).
You can also download it directly to your R data frame.
df <- read.csv('http://invidio.drl.pl/files/german_credit.csv')
German Credit Data Set Arff Download Free
Sample Weka Data Sets Below are some sample WEKA data sets, in arff format. Contact-lens.arff; cpu.arff; cpu.with-vendor.arff; diabetes.arff; glass.arff.
German Credit Data Set Arff Download Software
I hope it was helpful!
Bye, bye!