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dataset_analcatdata_creditscore

dataset_analcatdata_creditscore

active ARFF CC BY 4.0 Visibility: public Uploaded 13-12-2024 by Sebastian Silva Ruiz
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Financial dataset for automl benchmark. Name = dataset_analcatdata_creditscore, target = application_accepted

7 features

application_accepted (target)numeric2 unique values
0 missing
agenumeric28 unique values
0 missing
income_per_dependentnumeric76 unique values
0 missing
monthly_credit_card_expnumeric73 unique values
0 missing
own_homenumeric2 unique values
0 missing
self_employednumeric2 unique values
0 missing
derogatory_reportsnumeric6 unique values
0 missing

19 properties

100
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
7
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.62
Average class difference between consecutive instances.
0
Percentage of missing values.
0.07
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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