Data
Credit-Risk-Classification-Dataset

Credit-Risk-Classification-Dataset

active ARFF Publicly available Visibility: public Uploaded 22-11-2024 by Bilge Gun
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Dataset is uploaded from kaggle, see citation for the link.

43 features

label (target)nominal2 unique values
0 missing
idnumeric1125 unique values
0 missing
fea_2numeric158 unique values
149 missing
fea_4numeric229 unique values
0 missing
fea_8numeric52 unique values
0 missing
fea_10numeric280 unique values
0 missing
fea_11numeric266 unique values
0 missing
fea_1_1string2 unique values
0 missing
fea_1_2string2 unique values
0 missing
fea_1_4string2 unique values
0 missing
fea_1_5string2 unique values
0 missing
fea_1_6string2 unique values
0 missing
fea_1_7string2 unique values
0 missing
fea_3_1string2 unique values
0 missing
fea_3_2string2 unique values
0 missing
fea_3_3string2 unique values
0 missing
fea_5_1string2 unique values
0 missing
fea_5_2string2 unique values
0 missing
fea_6_3string2 unique values
0 missing
fea_6_4string2 unique values
0 missing
fea_6_5string2 unique values
0 missing
fea_6_6string2 unique values
0 missing
fea_6_8string2 unique values
0 missing
fea_6_9string2 unique values
0 missing
fea_6_11string2 unique values
0 missing
fea_6_12string2 unique values
0 missing
fea_6_15string2 unique values
0 missing
fea_6_16string2 unique values
0 missing
fea_7_-1string2 unique values
0 missing
fea_7_1string2 unique values
0 missing
fea_7_2string2 unique values
0 missing
fea_7_3string2 unique values
0 missing
fea_7_4string2 unique values
0 missing
fea_7_5string2 unique values
0 missing
fea_7_7string2 unique values
0 missing
fea_7_8string2 unique values
0 missing
fea_7_9string2 unique values
0 missing
fea_7_10string2 unique values
0 missing
fea_9_1string2 unique values
0 missing
fea_9_2string2 unique values
0 missing
fea_9_3string2 unique values
0 missing
fea_9_4string2 unique values
0 missing
fea_9_5string2 unique values
0 missing

19 properties

1125
Number of instances (rows) of the dataset.
43
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
149
Number of missing values in the dataset.
149
Number of instances with at least one value missing.
6
Number of numeric attributes.
1
Number of nominal attributes.
80
Percentage of instances belonging to the most frequent class.
2.33
Percentage of nominal attributes.
900
Number of instances belonging to the most frequent class.
20
Percentage of instances belonging to the least frequent class.
225
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
2.33
Percentage of binary attributes.
13.24
Percentage of instances having missing values.
0.67
Average class difference between consecutive instances.
0.31
Percentage of missing values.
0.04
Number of attributes divided by the number of instances.
13.95
Percentage of numeric attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: label
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