OpenML

JavaScript is required to properly view the contents of this page!

Explore
- Data
- Task
- Flow
- Run
- Study
- Task type
- Measure
- People
Help
Blog
Contact
Please cite us

crimecommunitynums2

active ARFF Public Domain (CC0) Visibility: public Uploaded 26-06-2019 by Fitzgerald
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

testtest

127 features

state (target)	numeric	46 unique values 0 missing
county	numeric	109 unique values 0 missing
community	numeric	800 unique values 0 missing
fold	numeric	10 unique values 0 missing
population	numeric	66 unique values 0 missing
householdsize	numeric	93 unique values 0 missing
racepctblack	numeric	100 unique values 0 missing
racePctWhite	numeric	99 unique values 0 missing
racePctAsian	numeric	91 unique values 0 missing
racePctHisp	numeric	91 unique values 0 missing
agePct12t21	numeric	93 unique values 0 missing
agePct12t29	numeric	89 unique values 0 missing
agePct16t24	numeric	94 unique values 0 missing
agePct65up	numeric	98 unique values 0 missing
numbUrban	numeric	67 unique values 0 missing
pctUrban	numeric	64 unique values 0 missing
medIncome	numeric	99 unique values 0 missing
pctWWage	numeric	96 unique values 0 missing
pctWFarmSelf	numeric	99 unique values 0 missing
pctWInvInc	numeric	96 unique values 0 missing
pctWSocSec	numeric	96 unique values 0 missing
pctWPubAsst	numeric	101 unique values 0 missing
pctWRetire	numeric	93 unique values 0 missing
medFamInc	numeric	98 unique values 0 missing
perCapInc	numeric	98 unique values 0 missing
whitePerCap	numeric	101 unique values 0 missing
blackPerCap	numeric	91 unique values 0 missing
indianPerCap	numeric	86 unique values 0 missing
AsianPerCap	numeric	98 unique values 0 missing
OtherPerCap	numeric	97 unique values 0 missing
HispPerCap	numeric	94 unique values 0 missing
NumUnderPov	numeric	66 unique values 0 missing
PctPopUnderPov	numeric	100 unique values 0 missing
PctLess9thGrade	numeric	97 unique values 0 missing
PctNotHSGrad	numeric	99 unique values 0 missing
PctBSorMore	numeric	96 unique values 0 missing
PctUnemployed	numeric	98 unique values 0 missing
PctEmploy	numeric	96 unique values 0 missing
PctEmplManu	numeric	100 unique values 0 missing
PctEmplProfServ	numeric	96 unique values 0 missing
PctOccupManu	numeric	98 unique values 0 missing
PctOccupMgmtProf	numeric	99 unique values 0 missing
MalePctDivorce	numeric	98 unique values 0 missing
MalePctNevMarr	numeric	96 unique values 0 missing
FemalePctDiv	numeric	91 unique values 0 missing
TotalPctDiv	numeric	94 unique values 0 missing
PersPerFam	numeric	92 unique values 0 missing
PctFam2Par	numeric	101 unique values 0 missing
PctKids2Par	numeric	97 unique values 0 missing
PctYoungKids2Par	numeric	99 unique values 0 missing
PctTeen2Par	numeric	96 unique values 0 missing
PctWorkMomYoungKids	numeric	95 unique values 0 missing
PctWorkMom	numeric	98 unique values 0 missing
NumIlleg	numeric	55 unique values 0 missing
PctIlleg	numeric	97 unique values 0 missing
NumImmig	numeric	47 unique values 0 missing
PctImmigRecent	numeric	99 unique values 0 missing
PctImmigRec5	numeric	100 unique values 0 missing
PctImmigRec8	numeric	97 unique values 0 missing
PctImmigRec10	numeric	97 unique values 0 missing
PctRecentImmig	numeric	95 unique values 0 missing
PctRecImmig5	numeric	97 unique values 0 missing
PctRecImmig8	numeric	98 unique values 0 missing
PctRecImmig10	numeric	100 unique values 0 missing
PctSpeakEnglOnly	numeric	98 unique values 0 missing
PctNotSpeakEnglWell	numeric	94 unique values 0 missing
PctLargHouseFam	numeric	99 unique values 0 missing
PctLargHouseOccup	numeric	96 unique values 0 missing
PersPerOccupHous	numeric	96 unique values 0 missing
PersPerOwnOccHous	numeric	94 unique values 0 missing
PersPerRentOccHous	numeric	98 unique values 0 missing
PctPersOwnOccup	numeric	100 unique values 0 missing
PctPersDenseHous	numeric	94 unique values 0 missing
PctHousLess3BR	numeric	100 unique values 0 missing
MedNumBR	numeric	3 unique values 0 missing
HousVacant	numeric	70 unique values 0 missing
PctHousOccup	numeric	92 unique values 0 missing
PctHousOwnOcc	numeric	99 unique values 0 missing
PctVacantBoarded	numeric	97 unique values 0 missing
PctVacMore6Mos	numeric	98 unique values 0 missing
MedYrHousBuilt	numeric	49 unique values 0 missing
PctHousNoPhone	numeric	99 unique values 0 missing
PctWOFullPlumb	numeric	91 unique values 0 missing
OwnOccLowQuart	numeric	99 unique values 0 missing
OwnOccMedVal	numeric	100 unique values 0 missing
OwnOccHiQuart	numeric	98 unique values 0 missing
RentLowQ	numeric	101 unique values 0 missing
RentMedian	numeric	99 unique values 0 missing
RentHighQ	numeric	99 unique values 0 missing
MedRent	numeric	100 unique values 0 missing
MedRentPctHousInc	numeric	95 unique values 0 missing
MedOwnCostPctInc	numeric	97 unique values 0 missing
MedOwnCostPctIncNoMtg	numeric	70 unique values 0 missing
NumInShelters	numeric	54 unique values 0 missing
NumStreet	numeric	53 unique values 0 missing
PctForeignBorn	numeric	96 unique values 0 missing
PctBornSameState	numeric	99 unique values 0 missing
PctSameHouse85	numeric	99 unique values 0 missing
PctSameCity85	numeric	100 unique values 0 missing
PctSameState85	numeric	97 unique values 0 missing
LemasSwornFT	numeric	38 unique values 0 missing
LemasSwFTPerPop	numeric	52 unique values 0 missing
LemasSwFTFieldOps	numeric	34 unique values 0 missing
LemasSwFTFieldPerPop	numeric	55 unique values 0 missing
LemasTotalReq	numeric	44 unique values 0 missing
LemasTotReqPerPop	numeric	59 unique values 0 missing
PolicReqPerOffic	numeric	75 unique values 0 missing
PolicPerPop	numeric	52 unique values 0 missing
RacialMatchCommPol	numeric	76 unique values 0 missing
PctPolicWhite	numeric	74 unique values 0 missing
PctPolicBlack	numeric	73 unique values 0 missing
PctPolicHisp	numeric	54 unique values 0 missing
PctPolicAsian	numeric	50 unique values 0 missing
PctPolicMinor	numeric	72 unique values 0 missing
OfficAssgnDrugUnits	numeric	30 unique values 0 missing
NumKindsDrugsSeiz	numeric	15 unique values 0 missing
PolicAveOTWorked	numeric	77 unique values 0 missing
LandArea	numeric	61 unique values 0 missing
PopDens	numeric	96 unique values 0 missing
PctUsePubTrans	numeric	98 unique values 0 missing
PolicCars	numeric	63 unique values 0 missing
PolicOperBudg	numeric	38 unique values 0 missing
LemasPctPolicOnPatr	numeric	72 unique values 0 missing
LemasGangUnitDeploy	numeric	3 unique values 0 missing
LemasPctOfficDrugUn	numeric	80 unique values 0 missing
PolicBudgPerPop	numeric	51 unique values 0 missing
ViolentCrimesPerPop	numeric	98 unique values 0 missing

Show first 100 features

62 properties

NumberOfInstances

1994

Number of instances (rows) of the dataset.

NumberOfFeatures

127

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

127

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

PercentageOfBinaryFeatures

Percentage of binary attributes.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

PercentageOfMissingValues

Percentage of missing values.

PercentageOfNumericFeatures

100

Percentage of numeric attributes.

PercentageOfSymbolicFeatures

Percentage of nominal attributes.

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile1KurtosisOfNumericAtts

0.22

First quartile of kurtosis among attributes of the numeric type.

Quartile1MeansOfNumericAtts

0.14

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

0.41

First quartile of skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.17

First quartile of standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

Quartile2KurtosisOfNumericAtts

1.74

Second quartile (Median) of kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.32

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

1.29

Second quartile (Median) of skewness among attributes of the numeric type.

Quartile2StdDevOfNumericAtts

0.19

Second quartile (Median) of standard deviation of attributes of the numeric type.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Quartile3KurtosisOfNumericAtts

5.79

Third quartile of kurtosis among attributes of the numeric type.

Quartile3MeansOfNumericAtts

0.48

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

2.37

Third quartile of skewness among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.22

Third quartile of standard deviation of attributes of the numeric type.

AutoCorrelation

-17.94

Average class difference between consecutive instances.

MeanMeansOfNumericAtts

149.77

Mean of means among attributes of the numeric type.

ClassEntropy

Entropy of the target attribute values.

Dimensionality

0.06

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

174.62

Maximum kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

18924.71

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

11.42

Maximum skewness among attributes of the numeric type.

MaxStdDevOfNumericAtts

27897.73

Maximum standard deviation of attributes of the numeric type.

MeanAttributeEntropy

Average entropy of the attributes.

MeanKurtosisOfNumericAtts

12.01

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

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

1.95

Mean skewness among attributes of the numeric type.

MeanStdDevOfNumericAtts

220.68

Mean standard deviation of attributes of the numeric type.

MinAttributeEntropy

Minimal entropy among attributes.

MinKurtosisOfNumericAtts

-1.31