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).
This is an analysis and classification of german credit data (more information at this pdf). Three classifiers tested, Support Vector Machines (SVM), Random Forests, Naive Bayes, to select the most efficient for our data.
And here you can find ready to use:
German Credit Data Set Arff Download Software
- 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.
German Credit Data Set Arff Download Pdf
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
I hope it was helpful!
Bye, bye!
German Credit Data Set Arff Downloads
- Or copy & paste this link into an email or IM.
- Attribute-Relation File Format (ARFF) November 1st, 2008. This documentation is superceded by the Wiki article on the ARFF format. April 1st, 2002. An ARFF (Attribute-Relation File Format) file is an ASCII text file that describes a list of instances sharing a set of attributes.