Data
Loan_Status_Classification

Loan_Status_Classification

active ARFF CC BY 4.0 Visibility: public Uploaded 21-11-2024 by Yayun Li
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
An updated version of the dataset for loan status category. The target variable 'loan_status' is now treated as nominal with categories: loan aprproved, loan rejected.

14 features

loan_status (target)nominal0 unique values
45000 missing
person_agenumeric60 unique values
0 missing
person_gendernumeric0 unique values
45000 missing
person_educationnumeric5 unique values
0 missing
person_incomenumeric33989 unique values
0 missing
person_emp_expnumeric63 unique values
0 missing
person_home_ownershipnumeric4 unique values
0 missing
loan_amntnumeric4483 unique values
0 missing
loan_intentnumeric6 unique values
0 missing
loan_int_ratenumeric1302 unique values
0 missing
loan_percent_incomenumeric64 unique values
0 missing
cb_person_cred_hist_lengthnumeric29 unique values
0 missing
credit_scorenumeric340 unique values
0 missing
previous_loan_defaults_on_filenumeric2 unique values
0 missing
Show all 14 features

19 properties

NumberOfInstances
45000
Number of instances (rows) of the dataset.
NumberOfFeatures
14
Number of attributes (columns) of the dataset.
NumberOfClasses
1
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
90000
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
45000
Number of instances with at least one value missing.
NumberOfNumericFeatures
13
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MajorityClassSize
45000
Number of instances belonging to the most frequent class.
MinorityClassPercentage
100
Percentage of instances belonging to the least frequent class.
MinorityClassSize
45000
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
1
Number of binary attributes.
PercentageOfBinaryFeatures
7.14
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
100
Percentage of instances having missing values.
AutoCorrelation
0
Average class difference between consecutive instances.
PercentageOfMissingValues
14.29
Percentage of missing values.
PercentageOfNumericFeatures
92.86
Percentage of numeric attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
7.14
Percentage of nominal attributes.
MajorityClassPercentage
100
Percentage of instances belonging to the most frequent class.
Show all 19 properties

1 tasks

Supervised Classification on Loan_Status_Classification
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: loan_status
Define a new task