![]() Hans Hofmann Institut f'ur Statistik und 'Okonometrie Universit'at Hamburg FB Wirtschaftswissenschaften Von-Melle-PHamburg 13 Data Set Information: Two datasets are p. The first model we can fit is a logistic regression, on selected covariates. Let us now create our training/calibration and validation/testing datasets, with proportion 1/3-2/3. Hans Hofmann,and can be downloaded from the UCI Machine Learning Repository. German Credit Data Set Arff Download Online. This data set classifies customers as 'Good' or 'Bad' as per their credit risks.This data set was contributed by Professor Dr. Description Usage Format Source Examples. Foreignworker: There are millions of foreign worker working in Germany 20 attributes used in judging a loan applicant. ![]() In CollapseLevels: Collapses Levels, Computes Information Value and WoE. German Credit Data Set Arff Download Software Ownstelephone: German phone rates are very high, so fewer people own telephones. Status of savings account/bonds, in Deutsche Mark. Purpose of the credit (car, television.) 5. Credit history (credits taken, paid back duly, delays, critical accounts) 4. Status of existing checking account, in Deutsche Mark. The file settings.txt contains the dataset name of train and test set and the name of the target column. ![]() ![]() For example when the value '?' Occur in the data section and it is not defined for this attribute, the data-readin would fail.
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