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HMEQ_Data

HMEQ_Data

active ARFF CC0PublicDomain Visibility: public Uploaded 23-03-2022 by Stewart
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ContextTheconsumercreditdepartmentofabankwantstoautomatethedecisionmakingprocessforapprovalofhomeequitylinesofcreditTodothistheywillfollowtherecommendationsoftheEqualCreditOpportunityActtocreateanempiricallyderivedandstatisticallysoundcreditscoringmodelThemodelwillbebasedondatacollectedfromrecentapplicantsgrantedcreditthroughthecurrentprocessofloanunderwritingThemodelwillbebuiltfrompredictivemodelingtoolsbutthecreatedmodelmustbesufficientlyinterpretabletoprovideareasonforanyadverseactionsrejectionsContentTheHomeEquitydatasetHMEQcontainsbaselineandloanperformanceinformationfor5960recenthomeequityloansThetargetBADisabinaryvariableindicatingwhetheranapplicanteventuallydefaultedorwasseriouslydelinquentThisadverseoutcomeoccurredin1189cases20Foreachapplicant12inputvariableswererecordedAcknowledgementsInspirationWhatifyoucanpredictclientswhodefaultontheirloans

13 features

BADnumeric2 unique values
0 missing
LOANnumeric540 unique values
0 missing
MORTDUEnumeric5053 unique values
518 missing
VALUEnumeric5381 unique values
112 missing
REASONstring2 unique values
252 missing
JOBstring6 unique values
279 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

19 properties

5960
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
5271
Number of missing values in the dataset.
2596
Number of instances with at least one value missing.
11
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
Average class difference between consecutive instances.
84.62
Percentage of numeric attributes.
6.8
Percentage of missing values.
43.56
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

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