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rossi

rossi

in_preparation ARFF Publicly available Visibility: public Uploaded 09-01-2019 by Nguyen
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Author: [Peter Henry Rossi](https://en.wikipedia.org/wiki/Peter_H._Rossi) et al. Source: [lifelines.datasets](https://github.com/CamDavidsonPilon/lifelines/blob/master/lifelines/datasets/rossi.csv) - 1980 Please cite: Rossi, P.H., Berk, R.A., and Lenihan, K.J. (1980). Money, Work, and Crime: Some Experimental Results. New York: Academic. The data pertain to 432 convicts who were released from Maryland state prisons in the 1970s and who were followed up for one year after release. Half the released convicts were assigned at random to an experimental treatment in which they were given financial aid; half did not receive aid. week - week of first arrest after release or censoring arrest - 1 if arrested, 0 if not arrested. fin - received financial aid? age - age in years at time of release. race - is black wexp - full-time work experience before incarceration: no or yes. mar - marital status at time of release: married or not married. paro - released on parole? prio - number of convictions prior to current incarceration. educ - level of education: 2 = 6th grade or less; 3 = 7th to 9th grade; 4 = 10th to 11th grade; 5 = 12th grade; 6 = some college.

9 features

weeknumeric49 unique values
0 missing
arrestnumeric2 unique values
0 missing
finnumeric2 unique values
0 missing
agenumeric28 unique values
0 missing
racenumeric2 unique values
0 missing
wexpnumeric2 unique values
0 missing
marnumeric2 unique values
0 missing
paronumeric2 unique values
0 missing
prionumeric17 unique values
0 missing
Show all 9 features

62 properties

NumberOfInstances
432
Number of instances (rows) of the dataset.
NumberOfFeatures
9
Number of attributes (columns) of the dataset.
NumberOfClasses
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
9
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-1.85
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.38
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
-1.24
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.38
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
1.37
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.62
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
3.34
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
13.79
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
1.74
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
4.5
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
8.49
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.02
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
5.33
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
45.85
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
2.31
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
12.66
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
1.06
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.2
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
2.69
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-2.01
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.12
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-2.31
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.33
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

11 tasks

Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Clustering on rossi
0 runs - estimation_procedure: 50 times Clustering
Survival Analysis on rossi
0 runs - estimation_procedure: Leave one out - evaluation_measure: c_index
Survival Analysis on rossi
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: c_index
Define a new task