Data
HMEQ_Data_Preprocessed

HMEQ_Data_Preprocessed

active ARFF Publicly available Visibility: public Uploaded 06-12-2024 by B 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
reason_debtconnumeric2 unique values
0 missing
reason_homeimpnumeric2 unique values
0 missing
reason_missingnumeric2 unique values
0 missing
job_mgrnumeric2 unique values
0 missing
job_missingnumeric2 unique values
0 missing
job_officenumeric2 unique values
0 missing
job_othernumeric2 unique values
0 missing
job_profexenumeric2 unique values
0 missing
job_salesnumeric2 unique values
0 missing
job_selfnumeric2 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.
20
Number of numeric attributes.
1
Number of nominal attributes.
4.76
Percentage of binary attributes.
41.02
Percentage of instances having missing values.
3.79
Percentage of missing values.
0.78
Average class difference between consecutive instances.
95.24
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
4.76
Percentage of nominal attributes.
80.05
Percentage of instances belonging to the most frequent class.
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.

1 tasks

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