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compas-two-years

compas-two-years

active ARFF Publicly available Visibility: public Uploaded 15-11-2019 by David Pierce
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Original data from https://github.com/propublica/compas-analysis/ by ProPublica. The data was subsequently preprocessed and reduced to relevant features for classification. The target variable is two_year_recid which indicates recidivism.

14 features

two_year_recid (target)nominal2 unique values
0 missing
sexnominal2 unique values
0 missing
agenumeric62 unique values
0 missing
juv_fel_countnumeric9 unique values
0 missing
juv_misd_countnumeric10 unique values
0 missing
juv_other_countnumeric8 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_Fnumeric2 unique values
0 missing
c_charge_degree_Mnumeric2 unique values
0 missing
Show all 14 features

62 properties

NumberOfInstances
5278
Number of instances (rows) of the dataset.
NumberOfFeatures
14
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
7
Number of numeric attributes.
NumberOfSymbolicFeatures
7
Number of nominal attributes.
Quartile1MutualInformation
0.01
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
50
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
50
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
50
Percentage of nominal attributes.
Quartile1AttributeEntropy
0.73
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.59
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.1
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
0.64
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.48
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
0.86
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
6.38
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.35
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
0.01
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
2.29
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.48
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
0.97
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
171.42
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
3.46
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
0.01
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
10.55
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
4.88
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.5
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
5.6
Mean of means among attributes of the numeric type.
ClassEntropy
1
Entropy of the target attribute values.
Dimensionality
0
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
105.32
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
52.96
Percentage of instances belonging to the most frequent class.
MajorityClassSize
2795
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
0.98
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
175.38
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
34.45
Maximum of means among attributes of the numeric type.
MaxMutualInformation
0.02
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
11.13
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
11.73
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
0.86
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
56.54
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
7
Number of binary attributes.
MeanMutualInformation
0.01
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
89.32
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
4.39
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
2.71
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
0.71
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.59
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.06
Minimum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.64
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.41
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
47.04
Percentage of instances belonging to the least frequent class.
MinorityClassSize
2483
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Classification on compas-two-years
0 runs - estimation_procedure: 10% Holdout set - target_feature: two_year_recid
Supervised Classification on compas-two-years
0 runs - estimation_procedure: 33% Holdout set - target_feature: two_year_recid
Supervised Classification on compas-two-years
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: two_year_recid
Supervised Classification on compas-two-years
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: two_year_recid
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Clustering on compas-two-years
0 runs - estimation_procedure: 50 times Clustering
Define a new task