Data
Multiclass_Classification_for_Corporate_Credit_Ratings

Multiclass_Classification_for_Corporate_Credit_Ratings

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This dataset is derived from the Credit Risk Analytics book by Harald, Daniel, and Bart, as described in the Medium article by Roi Polanitzer. It focuses on predicting financial difficulties and defaults in corporate credit ratings, which is crucial in the business world for stakeholders like banks and insurance companies.

8 features

rating (target)nominal10 unique values
0 missing
spidnumeric4969 unique values
0 missing
commeqtanumeric4927 unique values
0 missing
llploansnumeric4698 unique values
0 missing
costtoincomenumeric4987 unique values
0 missing
roenumeric4972 unique values
0 missing
liqasstanumeric4976 unique values
0 missing
sizenumeric4997 unique values
0 missing
Show all 8 features

19 properties

NumberOfInstances
5000
Number of instances (rows) of the dataset.
NumberOfFeatures
8
Number of attributes (columns) of the dataset.
NumberOfClasses
10
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.1
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
87.5
Percentage of numeric attributes.
MajorityClassPercentage
10
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
12.5
Percentage of nominal attributes.
MajorityClassSize
500
Number of instances belonging to the most frequent class.
MinorityClassPercentage
10
Percentage of instances belonging to the least frequent class.
MinorityClassSize
500
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on Multiclass_Classification_for_Corporate_Credit_Ratings
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: is_fraud
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