Qualitative_Bankruptcy
Donated on 2/8/2014
Predict the Bankruptcy from Qualitative parameters from experts.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
250
# Features
-
Dataset Information
Additional Information
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.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 7 of 7
Additional Variable Information
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}
Dataset Files
| File | Size |
|---|---|
| Qualitative_Bankruptcy (250 instances).rar | 3.5 KB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset qualitative_bankruptcy = fetch_ucirepo(id=281) # data (as pandas dataframes) X = qualitative_bankruptcy.data.features y = qualitative_bankruptcy.data.targets # metadata print(qualitative_bankruptcy.metadata) # variable information print(qualitative_bankruptcy.variables)
Qualitative_Bankruptcy [Dataset]. (2014). UCI Machine Learning Repository. https://doi.org/10.24432/C52889.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.