qualitative-bankruptcy
OpenML dataset with id 1495
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/1592287/qualitative-bankruptcy.arff
Upload date: 25 May 2015
Dataset Characteristics
Number of classes: 2
Number of features: 7 (numeric: 0, symbolic: 7 and in total binary: 1 )
Number of instances: 250
Number of instances with missing values: 0
Number of missing values: 0
Author: A. Martin, J. Uthayakumar, M. Nadarajan, V. Prasanna Venkatesan Source: UCI Please cite:
- Abstract:
Predict the Bankruptcy from Qualitative parameters from experts.
- Source:
Source Information -- Creator : Mr.A.Martin(jayamartin '@' yahoo.com) Mr.J.Uthayakumar (uthayakumar17691 '@' gmail.com) Mr.M.Nadarajan(nadaraj.muthuvel '@' gmail.com) -- Guided By : Dr.V.Prasanna Venkatesan -- Institution : Sri Manakula Vinayagar Engineering College and Pondicherry University -- Country : India -- Date : February 2014
- Data Set Information:
The parameters which we used for collecting the dataset is referred from the paper 'The discovery of expert' decision rules from qualitative bankruptcy data using genetic algorithms' by Myoung-Jong Kim*, Ingoo Han.
- Attribute Information:
(P=Positive,A-Average,N-negative,B-Bankruptcy,NB-Non-Bankruptcy)
1. Industrial Risk: {P,A,N} 2. Management Risk: {P,A,N} 3. Financial Flexibility: {P,A,N} 4. Credibility: {P,A,N} 5. Competitiveness: {P,A,N} 6. Operating Risk: {P,A,N} 7. Class: {B,NB}
- Relevant Papers:
The parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts’ decision rules from qualitative bankruptcy data using genetic algorithms' by Myoung-Jong Kim*, Ingoo Han.
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