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Multi-label dataset for text-classification. It consists of article titles and partial blurbs. Blurbs can be assigned to several categories (e.g. Science, News, Games) based on word predictors.

1101 features

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Search (target)nominal2 unique values
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Science (target)nominal2 unique values
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IT (target)nominal2 unique values
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BSD (target)nominal2 unique values
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YourRightsOnline (target)nominal2 unique values
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AskSlashdot (target)nominal2 unique values
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Apple (target)nominal2 unique values
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BookReviews (target)nominal2 unique values
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Hardware (target)nominal2 unique values
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Meta (target)nominal1 unique values
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Linux (target)nominal2 unique values
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Politics (target)nominal2 unique values
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forcenumeric2 unique values
0 missing
mozillanumeric2 unique values
0 missing
smivsnumeric2 unique values
0 missing
bootnumeric2 unique values
0 missing
formnumeric2 unique values
0 missing
multiplenumeric2 unique values
0 missing
snydeqnumeric2 unique values
0 missing
bossnumeric2 unique values
0 missing
formatnumeric2 unique values
0 missing
musicnumeric2 unique values
0 missing
socialnumeric2 unique values
0 missing
bostonnumeric2 unique values
0 missing
foundnumeric2 unique values
0 missing
namednumeric2 unique values
0 missing
softwarenumeric2 unique values
0 missing
boxnumeric2 unique values
0 missing
foundationnumeric2 unique values
0 missing
namesnumeric2 unique values
0 missing
solarnumeric2 unique values
0 missing
brainnumeric2 unique values
0 missing
foundernumeric2 unique values
0 missing
narramissicnumeric2 unique values
0 missing
solidnumeric2 unique values
0 missing
bringnumeric2 unique values
0 missing
francenumeric2 unique values
0 missing
nasanumeric2 unique values
0 missing
solutionnumeric2 unique values
0 missing
bringsnumeric2 unique values
0 missing
francisconumeric2 unique values
0 missing
nationalnumeric2 unique values
0 missing
sonynumeric2 unique values
0 missing
britishnumeric2 unique values
0 missing
freenumeric2 unique values
0 missing
netnumeric2 unique values
0 missing
sourcenumeric2 unique values
0 missing
broadbandnumeric2 unique values
0 missing
fridaynumeric2 unique values
0 missing
netbooknumeric2 unique values
0 missing
sourcesnumeric2 unique values
0 missing
brokennumeric2 unique values
0 missing
frontnumeric2 unique values
0 missing
netbooksnumeric2 unique values
0 missing
spacenumeric2 unique values
0 missing
browsernumeric2 unique values
0 missing
fuelnumeric2 unique values
0 missing
netflixnumeric2 unique values
0 missing
spacecraftnumeric2 unique values
0 missing
brucenumeric2 unique values
0 missing
fullnumeric2 unique values
0 missing
networknumeric2 unique values
0 missing
spacexnumeric2 unique values
0 missing
bugnumeric2 unique values
0 missing
funnumeric2 unique values
0 missing
networkingnumeric2 unique values
0 missing
spamnumeric2 unique values
0 missing
buildnumeric2 unique values
0 missing
fundingnumeric2 unique values
0 missing
networksnumeric2 unique values
0 missing
specialnumeric2 unique values
0 missing
buildingnumeric2 unique values
0 missing
futurenumeric2 unique values
0 missing
neutralitynumeric2 unique values
0 missing
speechnumeric2 unique values
0 missing
builtnumeric2 unique values
0 missing
g1numeric2 unique values
0 missing
newsnumeric2 unique values
0 missing
speednumeric2 unique values
0 missing
businessnumeric2 unique values
0 missing
gamasutranumeric2 unique values
0 missing
newyorkcountrylawyernumeric2 unique values
0 missing
spokenumeric2 unique values
0 missing
buynumeric2 unique values
0 missing
gamenumeric2 unique values
0 missing
nicenumeric2 unique values
0 missing
sporenumeric2 unique values
0 missing
calamitynumeric2 unique values
0 missing
gameplaynumeric2 unique values
0 missing
nightnumeric2 unique values
0 missing
squarenumeric2 unique values
0 missing
californianumeric2 unique values
0 missing
gamernumeric2 unique values
0 missing
nintendonumeric2 unique values
0 missing
standardnumeric2 unique values
0 missing
callnumeric2 unique values
0 missing
gamersnumeric2 unique values
0 missing
nobelnumeric2 unique values
0 missing
standardsnumeric2 unique values
0 missing
callednumeric2 unique values
0 missing
gamesnumeric2 unique values
0 missing
nokianumeric2 unique values
0 missing
starnumeric2 unique values
0 missing
callsnumeric2 unique values
0 missing
gamingnumeric2 unique values
0 missing
northnumeric2 unique values
0 missing
startnumeric2 unique values
0 missing
cameranumeric2 unique values
0 missing
gavenumeric2 unique values
0 missing
notebooknumeric2 unique values
0 missing
startednumeric2 unique values
0 missing
camerasnumeric2 unique values
0 missing
genenumeric2 unique values
0 missing
notednumeric2 unique values
0 missing
startingnumeric2 unique values
0 missing
campaignnumeric2 unique values
0 missing
generalnumeric2 unique values
0 missing
notesnumeric2 unique values
0 missing
statenumeric2 unique values
0 missing
canadanumeric2 unique values
0 missing
generationnumeric2 unique values
0 missing
novembernumeric2 unique values
0 missing
statesnumeric2 unique values
0 missing
canadiannumeric2 unique values
0 missing
genuthnumeric2 unique values
0 missing
nuclearnumeric2 unique values
0 missing
steamnumeric2 unique values
0 missing
cancernumeric2 unique values
0 missing
germannumeric2 unique values
0 missing
numbernumeric2 unique values
0 missing
stepnumeric2 unique values
0 missing
carnumeric2 unique values
0 missing
germanynumeric2 unique values
0 missing
nvidianumeric2 unique values
0 missing
stephennumeric2 unique values
0 missing
cardnumeric2 unique values
0 missing
giantnumeric2 unique values
0 missing
obamanumeric2 unique values
0 missing
stevenumeric2 unique values
0 missing
cardsnumeric2 unique values
0 missing
givenumeric2 unique values
0 missing
objectsnumeric2 unique values
0 missing
stoolpigeonnumeric2 unique values
0 missing
casenumeric2 unique values
0 missing
givingnumeric2 unique values
0 missing
octobernumeric2 unique values
0 missing
stopnumeric2 unique values
0 missing
casesnumeric2 unique values
0 missing
globalnumeric2 unique values
0 missing
offernumeric2 unique values
0 missing
storagenumeric2 unique values
0 missing
caughtnumeric2 unique values
0 missing
gmailnumeric2 unique values
0 missing
offeringnumeric2 unique values
0 missing
storenumeric2 unique values
0 missing
cellnumeric2 unique values
0 missing
goldnumeric2 unique values
0 missing
offersnumeric2 unique values
0 missing
storynumeric2 unique values
0 missing
cellsnumeric2 unique values
0 missing
goodnumeric2 unique values
0 missing
officenumeric2 unique values
0 missing
streamingnumeric2 unique values
0 missing
censorshipnumeric2 unique values
0 missing
googlenumeric2 unique values
0 missing
officialnumeric2 unique values
0 missing
streetnumeric2 unique values
0 missing
centernumeric2 unique values
0 missing
govnumeric2 unique values
0 missing
officiallynumeric2 unique values
0 missing
strongnumeric2 unique values
0 missing
ceonumeric2 unique values
0 missing
governmentnumeric2 unique values
0 missing
officialsnumeric2 unique values
0 missing
studentnumeric2 unique values
0 missing
cernnumeric2 unique values
0 missing
gpsnumeric2 unique values
0 missing
olpcnumeric2 unique values
0 missing
studentsnumeric2 unique values
0 missing
cesnumeric2 unique values
0 missing
gpunumeric2 unique values
0 missing
onlinenumeric2 unique values
0 missing
studiosnumeric2 unique values
0 missing
challengenumeric2 unique values
0 missing
grandnumeric2 unique values
0 missing
opennumeric2 unique values
0 missing
studynumeric2 unique values
0 missing
chancenumeric2 unique values
0 missing
graphicsnumeric2 unique values
0 missing
open.sourcenumeric2 unique values
0 missing
stupidnumeric2 unique values
0 missing
changenumeric2 unique values
0 missing
greatnumeric2 unique values
0 missing
openingnumeric2 unique values
0 missing
submittednumeric2 unique values
0 missing
changednumeric2 unique values
0 missing
greennumeric2 unique values
0 missing
operatingnumeric2 unique values
0 missing
successfulnumeric2 unique values
0 missing
chargesnumeric2 unique values
0 missing
groupnumeric2 unique values
0 missing
ordernumeric2 unique values
0 missing
successfullynumeric2 unique values
0 missing
cheapnumeric2 unique values
0 missing
growingnumeric2 unique values
0 missing
orderednumeric2 unique values
0 missing
suednumeric2 unique values
0 missing
checknumeric2 unique values
0 missing
guardiannumeric2 unique values
0 missing
orgnumeric2 unique values
0 missing
suesnumeric2 unique values
0 missing
childnumeric2 unique values
0 missing
guidenumeric2 unique values
0 missing
originalnumeric2 unique values
0 missing
suggestsnumeric2 unique values
0 missing
childrennumeric2 unique values
0 missing
guitarnumeric2 unique values
0 missing
osnumeric2 unique values
0 missing
suitnumeric2 unique values
0 missing
chinanumeric2 unique values
0 missing
guynumeric2 unique values
0 missing
p2pnumeric2 unique values
0 missing
sunnumeric2 unique values
0 missing
chinesenumeric2 unique values
0 missing
hackernumeric2 unique values
0 missing
pagenumeric2 unique values
0 missing
supercomputernumeric2 unique values
0 missing
chipnumeric2 unique values
0 missing
hackersnumeric2 unique values
0 missing
palinnumeric2 unique values
0 missing
supportnumeric2 unique values
0 missing
chipsnumeric2 unique values
0 missing
hadronnumeric2 unique values
0 missing
papernumeric2 unique values
0 missing
supremenumeric2 unique values
0 missing
christmasnumeric2 unique values
0 missing
halfnumeric2 unique values
0 missing
parknumeric2 unique values
0 missing
surfacenumeric2 unique values
0 missing
chromenumeric2 unique values
0 missing
halonumeric2 unique values
0 missing
partnumeric2 unique values
0 missing
surveynumeric2 unique values
0 missing
cisconumeric2 unique values
0 missing
hardnumeric2 unique values
0 missing
partsnumeric2 unique values
0 missing
swedishnumeric2 unique values
0 missing
citynumeric2 unique values
0 missing
hardwarenumeric2 unique values
0 missing
partynumeric2 unique values
0 missing
switchnumeric2 unique values
0 missing
claimnumeric2 unique values
0 missing
hatnumeric2 unique values
0 missing
passednumeric2 unique values
0 missing
systemnumeric2 unique values
0 missing
claimingnumeric2 unique values
0 missing
headnumeric2 unique values
0 missing
passesnumeric2 unique values
0 missing
systemsnumeric2 unique values
0 missing
claimsnumeric2 unique values
0 missing
healthnumeric2 unique values
0 missing
pastnumeric2 unique values
0 missing
t.mobilenumeric2 unique values
0 missing
classnumeric2 unique values
0 missing
heardnumeric2 unique values
0 missing
patchnumeric2 unique values
0 missing
takesnumeric2 unique values
0 missing
closenumeric2 unique values
0 missing
heartnumeric2 unique values
0 missing
patentnumeric2 unique values
0 missing
takingnumeric2 unique values
0 missing
cloudnumeric2 unique values
0 missing
heronumeric2 unique values
0 missing
patentsnumeric2 unique values
0 missing
talknumeric2 unique values
0 missing
cnetnumeric2 unique values
0 missing
highnumeric2 unique values
0 missing
paulnumeric2 unique values
0 missing
talksnumeric2 unique values
0 missing
codenumeric2 unique values
0 missing
historynumeric2 unique values
0 missing
paynumeric2 unique values
0 missing
targetnumeric2 unique values
0 missing
collegenumeric2 unique values
0 missing
hitnumeric2 unique values
0 missing
pcnumeric2 unique values
0 missing
teachernumeric2 unique values
0 missing
collidernumeric2 unique values
0 missing
holenumeric2 unique values
0 missing
pcsnumeric2 unique values
0 missing
teamnumeric2 unique values
0 missing
comingnumeric2 unique values
0 missing
holynumeric2 unique values
0 missing
pdfnumeric2 unique values
0 missing
technumeric2 unique values
0 missing
commentsnumeric2 unique values
0 missing
homenumeric2 unique values
0 missing
peoplenumeric2 unique values
0 missing
technicanumeric2 unique values
0 missing
commissionnumeric2 unique values
0 missing
hopenumeric2 unique values
0 missing
percentnumeric2 unique values
0 missing
technicalnumeric2 unique values
0 missing
committeenumeric2 unique values
0 missing
hostingnumeric2 unique values
0 missing
perfectnumeric2 unique values
0 missing
technologiesnumeric2 unique values
0 missing
communicationsnumeric2 unique values
0 missing
hotnumeric2 unique values
0 missing
performancenumeric2 unique values
0 missing
technologynumeric2 unique values
0 missing
communitynumeric2 unique values
0 missing
hoursnumeric2 unique values
0 missing
perlnumeric2 unique values
0 missing
telecomnumeric2 unique values
0 missing
companiesnumeric2 unique values
0 missing
housenumeric2 unique values
0 missing
personnumeric2 unique values
0 missing
telescopenumeric2 unique values
0 missing
companynumeric2 unique values
0 missing
hpnumeric2 unique values
0 missing
personalnumeric2 unique values
0 missing
televisionnumeric2 unique values
0 missing
competitionnumeric2 unique values
0 missing
hubblenumeric2 unique values
0 missing
phonenumeric2 unique values
0 missing
tennumeric2 unique values
0 missing
completenumeric2 unique values
0 missing
hugenumeric2 unique values
0 missing
phonesnumeric2 unique values
0 missing
testnumeric2 unique values
0 missing
computernumeric2 unique values
0 missing
hughnumeric2 unique values
0 missing
photosnumeric2 unique values
0 missing
testingnumeric2 unique values
0 missing
computersnumeric2 unique values
0 missing
humannumeric2 unique values
0 missing
physicsnumeric2 unique values
0 missing
testsnumeric2 unique values
0 missing
computingnumeric2 unique values
0 missing
humansnumeric2 unique values
0 missing
pickensnumeric2 unique values
0 missing
texasnumeric2 unique values
0 missing
conductednumeric2 unique values
0 missing
iannumeric2 unique values
0 missing
picturesnumeric2 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
3782
Number of instances (rows) of the dataset.
NumberOfFeatures
1101
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
1079
Number of numeric attributes.
NumberOfSymbolicFeatures
22
Number of nominal attributes.
ClassEntropy
Entropy of the target attribute values.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Dimensionality
0.29
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
1.91
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
217.76
Second quartile (Median) of kurtosis among attributes of the numeric type.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MeanSkewnessOfNumericAtts
14.22
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
98.02
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
0.08
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassSize
3707
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
14.82
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.46
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
2
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.07
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
626.16
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
0.67
Maximum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
286.31
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
1
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
98
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0.01
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.74
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
2
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
25.06
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.04
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
16.98
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.47
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
1.98
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
130.25
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.09
Third quartile of standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
75
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
0
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
0.29
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanKurtosisOfNumericAtts
216.42
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
22
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
0.01
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
11.5
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
0.96
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.06
First quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

16 tasks

Supervised Regression on slashdot
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on slashdot
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on slashdot
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on slashdot
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on slashdot
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
Clustering on slashdot
0 runs - estimation_procedure: 50 times Clustering
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