Data
simulated_bank_marketing

simulated_bank_marketing

active ARFF CC BY 4.0 Visibility: public Uploaded 10-11-2023 by Sebastian Fischer
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See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.

17 features

Class (target)numeric2 unique values
0 missing
V1numeric86 unique values
0 missing
V2nominal12 unique values
0 missing
V3nominal3 unique values
0 missing
V4nominal4 unique values
0 missing
V5nominal2 unique values
0 missing
V6numeric9096 unique values
0 missing
V7nominal2 unique values
0 missing
V8nominal2 unique values
0 missing
V9nominal3 unique values
0 missing
V10numeric50 unique values
0 missing
V11nominal12 unique values
0 missing
V12numeric1824 unique values
0 missing
V13numeric55 unique values
0 missing
V14numeric584 unique values
0 missing
V15numeric39 unique values
0 missing
V16nominal4 unique values
0 missing

19 properties

5100000
Number of instances (rows) of the dataset.
17
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
8
Number of numeric attributes.
9
Number of nominal attributes.
17.65
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.79
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
47.06
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
52.94
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.
3
Number of binary attributes.

2 tasks

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