Data
compass

compass

active ARFF See source Visibility: public Uploaded 12-07-2022 by Leo Grin
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
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 categorical and numerical features" benchmark. Original source: https://github.com/propublica/compas-analysis/blob/master/cox-violent-parsed.csv Please give credit to the original source if you use this dataset.

18 features

is_recid (target)nominal2 unique values
0 missing
sexnominal2 unique values
0 missing
agenumeric65 unique values
0 missing
age_catnominal3 unique values
0 missing
racenominal6 unique values
0 missing
juv_fel_countnumeric12 unique values
0 missing
juv_misd_countnumeric11 unique values
0 missing
juv_other_countnumeric11 unique values
0 missing
priors_countnumeric39 unique values
0 missing
days_b_screening_arrestnumeric531 unique values
0 missing
c_days_from_compasnumeric473 unique values
0 missing
c_charge_degreenominal13 unique values
0 missing
decile_score.1nominal10 unique values
0 missing
score_textnominal3 unique values
0 missing
v_type_of_assessmentnominal1 unique values
0 missing
v_decile_scorenominal10 unique values
0 missing
v_score_textnominal3 unique values
0 missing
endnumeric1178 unique values
0 missing

19 properties

16644
Number of instances (rows) of the dataset.
18
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.
8
Number of numeric attributes.
10
Number of nominal attributes.
2
Number of binary attributes.
11.11
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
1
Average class difference between consecutive instances.
44.44
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
55.56
Percentage of nominal attributes.
50
Percentage of instances belonging to the most frequent class.
8322
Number of instances belonging to the most frequent class.
50
Percentage of instances belonging to the least frequent class.
8322
Number of instances belonging to the least frequent class.

1 tasks

1 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: is_recid
Define a new task