Data
Credit-Risk-Dataset

Credit-Risk-Dataset

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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Detailed data description of Credit Risk dataset: Feature Name Description person_age Age person_income Annual Income personhomeownership Home ownership personemplength Employment length (in years) loan_intent Loan intent loan_grade Loan grade loan_amnt Loan amount loanintrate Interest rate loan_status Loan status (0 is non default 1 is default) loanpercentincome Percent income cbpersondefaultonfile Historical default cbpresoncredhistlength Credit history length

12 features

person_agenumeric58 unique values
0 missing
person_incomenumeric4295 unique values
0 missing
person_home_ownershipstring4 unique values
0 missing
person_emp_lengthnumeric36 unique values
895 missing
loan_intentstring6 unique values
0 missing
loan_gradestring7 unique values
0 missing
loan_amntnumeric753 unique values
0 missing
loan_int_ratenumeric348 unique values
3116 missing
loan_statusnumeric2 unique values
0 missing
loan_percent_incomenumeric77 unique values
0 missing
cb_person_default_on_filestring2 unique values
0 missing
cb_person_cred_hist_lengthnumeric29 unique values
0 missing

19 properties

32581
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4011
Number of missing values in the dataset.
3943
Number of instances with at least one value missing.
8
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
66.67
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.
0
Percentage of binary attributes.
12.1
Percentage of instances having missing values.
Average class difference between consecutive instances.
1.03
Percentage of missing values.

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