Data
compas-two-years

compas-two-years

active ARFF Publicly available Visibility: public Uploaded 07-01-2023 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 "classification on both numerical and categorical features" benchmark. Original link: https://openml.org/d/42192 Original description: nominal features and target for COMPAS

12 features

twoyearrecid (target)nominal2 unique values
0 missing
sexnominal2 unique values
0 missing
agenumeric61 unique values
0 missing
juv_misd_countnumeric10 unique values
0 missing
priors_countnumeric36 unique values
0 missing
age_cat_25-45nominal2 unique values
0 missing
age_cat_Greaterthan45nominal2 unique values
0 missing
age_cat_Lessthan25nominal2 unique values
0 missing
race_African-Americannominal2 unique values
0 missing
race_Caucasiannominal2 unique values
0 missing
c_charge_degree_Fnominal2 unique values
0 missing
c_charge_degree_Mnominal2 unique values
0 missing

19 properties

4966
Number of instances (rows) of the dataset.
12
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.
3
Number of numeric attributes.
9
Number of nominal attributes.
75
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
1
Average class difference between consecutive instances.
25
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
75
Percentage of nominal attributes.
50
Percentage of instances belonging to the most frequent class.
2483
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
2483
Number of instances belonging to the least frequent class.
9
Number of binary attributes.

2 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: twoyearrecid
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: twoyearrecid
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