Data
HMEQ_Data

HMEQ_Data

active ARFF Publicly available Visibility: public Uploaded 22-11-2024 by Bilge Gun
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Predict clients who default on their loan. Dataset is uploaded from kaggle, see citation for the link.

21 features

bad (target)nominal2 unique values
0 missing
loannumeric540 unique values
0 missing
mortduenumeric5053 unique values
518 missing
valuenumeric5381 unique values
112 missing
yojnumeric99 unique values
515 missing
derognumeric11 unique values
708 missing
delinqnumeric14 unique values
580 missing
clagenumeric5314 unique values
308 missing
ninqnumeric16 unique values
510 missing
clnonumeric62 unique values
222 missing
debtincnumeric4693 unique values
1267 missing
job_Mgrstring2 unique values
0 missing
job_Officestring2 unique values
0 missing
job_Otherstring2 unique values
0 missing
job_ProfExestring2 unique values
0 missing
job_Salesstring2 unique values
0 missing
job_Selfstring2 unique values
0 missing
job_nanstring2 unique values
0 missing
reason_DebtConstring2 unique values
0 missing
reason_HomeImpstring2 unique values
0 missing
reason_nanstring2 unique values
0 missing

19 properties

5960
Number of instances (rows) of the dataset.
21
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
4740
Number of missing values in the dataset.
2445
Number of instances with at least one value missing.
10
Number of numeric attributes.
1
Number of nominal attributes.
41.02
Percentage of instances having missing values.
0.78
Average class difference between consecutive instances.
3.79
Percentage of missing values.
0
Number of attributes divided by the number of instances.
47.62
Percentage of numeric attributes.
80.05
Percentage of instances belonging to the most frequent class.
4.76
Percentage of nominal attributes.
4771
Number of instances belonging to the most frequent class.
19.95
Percentage of instances belonging to the least frequent class.
1189
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
4.76
Percentage of binary attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: bad
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