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black_friday

black_friday

active ARFF GPL-1 Visibility: public Uploaded 21-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on categorical and numerical features" benchmark. Original description: Customer purchases on Black Friday

10 features

Purchase (target)numeric13876 unique values
0 missing
Gendernominal2 unique values
0 missing
Agenominal7 unique values
0 missing
Occupationnumeric21 unique values
0 missing
City_Categorynominal3 unique values
0 missing
Stay_In_Current_City_Yearsnominal5 unique values
0 missing
Marital_Statusnominal2 unique values
0 missing
Product_Category_1numeric12 unique values
0 missing
Product_Category_2numeric14 unique values
0 missing
Product_Category_3numeric15 unique values
0 missing

19 properties

166821
Number of instances (rows) of the dataset.
10
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.
5
Number of numeric attributes.
5
Number of nominal attributes.
20
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.42
Average class difference between consecutive instances.
50
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
50
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.
2
Number of binary attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: Purchase
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