Data
doa_bwin_balanced

doa_bwin_balanced

active ARFF Publicly available Visibility: public Uploaded 18-12-2023 by Kasra Ghaharian
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The balanced dataset of the doa_bwin dataset (ID:45711) using the SMOTE algorithm in the R-Package themis. This dataset represents a 50:50 split between the classes of the DV variable (354/354).

14 features

DV (target)nominal2 unique values
0 missing
CountryIDnominal21 unique values
0 missing
Gendernominal2 unique values
0 missing
ageRDATEnumeric43 unique values
0 missing
p2sumstakenumeric705 unique values
0 missing
p2sumbetnumeric527 unique values
0 missing
p2sumdaynumeric355 unique values
0 missing
p2intvdaynumeric540 unique values
0 missing
p2bpdnumeric630 unique values
0 missing
p2netnumeric705 unique values
0 missing
Zp2bpd1mnumeric473 unique values
0 missing
Zp2stakeSD1mnumeric696 unique values
0 missing
Zp2totalactivedays1mnumeric176 unique values
0 missing
Zp2stakeslope1mnumeric692 unique values
0 missing

19 properties

708
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
2
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.
11
Number of numeric attributes.
3
Number of nominal attributes.
14.29
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.66
Average class difference between consecutive instances.
78.57
Percentage of numeric attributes.
0.02
Number of attributes divided by the number of instances.
21.43
Percentage of nominal attributes.
50
Percentage of instances belonging to the most frequent class.
354
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
354
Number of instances belonging to the least frequent class.
2
Number of binary attributes.

1 tasks

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