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new3s.wc

new3s.wc

active Sparse_ARFF Publicly available Visibility: public Uploaded 28-09-2014 by unknown
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26833 features

CLASS_LABEL (target)nominal44 unique values
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jakenumeric3 unique values
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peenumeric3 unique values
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audiblnumeric2 unique values
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hingnumeric2 unique values
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newsroomnumeric3 unique values
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forswearnumeric2 unique values
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leytonnumeric2 unique values
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poolenumeric4 unique values
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thomenumeric3 unique values
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vertexnumeric3 unique values
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edwinanumeric3 unique values
0 missing
oppenheimnumeric2 unique values
0 missing
gunnellnumeric2 unique values
0 missing
cathrinnumeric2 unique values
0 missing
favershamnumeric2 unique values
0 missing
newhamnumeric4 unique values
0 missing
aylesburinumeric2 unique values
0 missing
orpingtonnumeric2 unique values
0 missing
dunwoodinumeric2 unique values
0 missing
mahonnumeric4 unique values
0 missing
crossleinumeric2 unique values
0 missing
crawleinumeric3 unique values
0 missing
gwentnumeric2 unique values
0 missing
pamnumeric4 unique values
0 missing
woodsprnumeric2 unique values
0 missing
reigatnumeric3 unique values
0 missing
hythenumeric2 unique values
0 missing
huddersfieldnumeric3 unique values
0 missing
alecnumeric2 unique values
0 missing
hawksleinumeric3 unique values
0 missing
ellesmernumeric2 unique values
0 missing
harwichnumeric3 unique values
0 missing
hargravnumeric2 unique values
0 missing
malonnumeric3 unique values
0 missing
nuneatonnumeric2 unique values
0 missing
moffatnumeric3 unique values
0 missing
durkinnumeric3 unique values
0 missing
havantnumeric2 unique values
0 missing
rookernumeric3 unique values
0 missing
crewenumeric3 unique values
0 missing
lestornumeric2 unique values
0 missing
falkirknumeric3 unique values
0 missing
pendlenumeric3 unique values
0 missing
cathcartnumeric2 unique values
0 missing
kutapannumeric2 unique values
0 missing
wigannumeric3 unique values
0 missing
mccartneinumeric2 unique values
0 missing
cullennumeric3 unique values
0 missing
wickenumeric2 unique values
0 missing
soamenumeric2 unique values
0 missing
thurstonnumeric2 unique values
0 missing
sedgefieldnumeric2 unique values
0 missing
wallaseinumeric2 unique values
0 missing
jeffernumeric2 unique values
0 missing
declannumeric2 unique values
0 missing
alunnumeric4 unique values
0 missing
broomenumeric2 unique values
0 missing
lakernumeric2 unique values
0 missing
mcavoinumeric3 unique values
0 missing
kirkhamnumeric2 unique values
0 missing
mondnumeric2 unique values
0 missing
vittinumeric2 unique values
0 missing
fallonnumeric2 unique values
0 missing
carricknumeric2 unique values
0 missing
finchleinumeric3 unique values
0 missing
newallnumeric2 unique values
0 missing
mandelsonnumeric2 unique values
0 missing
lyellnumeric4 unique values
0 missing
athertonnumeric3 unique values
0 missing
moonienumeric2 unique values
0 missing
beresfordnumeric3 unique values
0 missing
sandersonnumeric2 unique values
0 missing
solihulnumeric2 unique values
0 missing
dalyellnumeric3 unique values
0 missing
lothiannumeric2 unique values
0 missing
stratfordnumeric5 unique values
0 missing
northavonnumeric3 unique values
0 missing
nichollnumeric3 unique values
0 missing
doonnumeric2 unique values
0 missing
unwinnumeric3 unique values
0 missing
beckenhamnumeric2 unique values
0 missing
rockallnumeric3 unique values
0 missing
fromenumeric2 unique values
0 missing
treadwellnumeric2 unique values
0 missing
channonnumeric2 unique values
0 missing
spellarnumeric3 unique values
0 missing
stephensonnumeric5 unique values
0 missing
ullrichnumeric2 unique values
0 missing
ravennumeric2 unique values
0 missing
roytonnumeric2 unique values
0 missing
caernarfonnumeric2 unique values
0 missing
dunphinumeric2 unique values
0 missing
hornseinumeric2 unique values
0 missing
sangarnumeric3 unique values
0 missing
worthingtonnumeric2 unique values
0 missing
decternumeric3 unique values
0 missing
rotherhamnumeric2 unique values
0 missing
enrightnumeric3 unique values
0 missing
beaconsfieldnumeric2 unique values
0 missing
swanseanumeric3 unique values
0 missing
bexleinumeric2 unique values
0 missing
highgatnumeric2 unique values
0 missing
fyfenumeric3 unique values
0 missing
garelnumeric3 unique values
0 missing
mansonnumeric3 unique values
0 missing
knowsleinumeric3 unique values
0 missing
billericainumeric2 unique values
0 missing
northwoodnumeric3 unique values
0 missing
amershamnumeric2 unique values
0 missing
southgatnumeric2 unique values
0 missing
leonanumeric8 unique values
0 missing
somertonnumeric2 unique values
0 missing
liddellnumeric2 unique values
0 missing
ernienumeric2 unique values
0 missing
meachernumeric5 unique values
0 missing
septuagenariannumeric2 unique values
0 missing
unbrokennumeric2 unique values
0 missing
ebullinumeric2 unique values
0 missing
moseleinumeric2 unique values
0 missing
churlishnumeric3 unique values
0 missing
whittinumeric2 unique values
0 missing
catharsinumeric2 unique values
0 missing
prowsenumeric3 unique values
0 missing
brunnernumeric4 unique values
0 missing
curlnumeric2 unique values
0 missing
appenzelnumeric2 unique values
0 missing
ovatnumeric2 unique values
0 missing
rmtnumeric4 unique values
0 missing
plushnumeric2 unique values
0 missing
catholicnumeric2 unique values
0 missing
birknumeric3 unique values
0 missing
deanenumeric2 unique values
0 missing
sosuknumeric2 unique values
0 missing
handilinumeric2 unique values
0 missing
kotowitznumeric3 unique values
0 missing
skulduggerinumeric3 unique values
0 missing
sulaymaniyahnumeric3 unique values
0 missing
habranumeric3 unique values
0 missing
rousselnumeric2 unique values
0 missing
geishanumeric2 unique values
0 missing
schoenbergnumeric4 unique values
0 missing
mccannumeric3 unique values
0 missing
fondlinumeric2 unique values
0 missing
hendrixnumeric3 unique values
0 missing
whirlnumeric2 unique values
0 missing
saadnumeric3 unique values
0 missing
totenumeric2 unique values
0 missing
rhythmicnumeric2 unique values
0 missing
natalianumeric2 unique values
0 missing
glyndebournnumeric3 unique values
0 missing
picassonumeric2 unique values
0 missing
macminnumeric2 unique values
0 missing
areolarnumeric2 unique values
0 missing
waterbrooknumeric2 unique values
0 missing
parcnumeric3 unique values
0 missing
cramlingtonnumeric2 unique values
0 missing
choreographinumeric3 unique values
0 missing
telesalnumeric2 unique values
0 missing
demergnumeric4 unique values
0 missing
potsdamnumeric2 unique values
0 missing
oddssonnumeric4 unique values
0 missing
halletnumeric4 unique values
0 missing
sunbathnumeric2 unique values
0 missing
climatologistnumeric2 unique values
0 missing
calypsonumeric3 unique values
0 missing
giselanumeric2 unique values
0 missing
granicnumeric3 unique values
0 missing
medjugorjnumeric3 unique values
0 missing
frangajnumeric6 unique values
0 missing
gjergjnumeric4 unique values
0 missing
chiboutnumeric2 unique values
0 missing
quemeneurnumeric2 unique values
0 missing
toualinumeric4 unique values
0 missing
yeoryionumeric3 unique values
0 missing
lissinumeric2 unique values
0 missing
campionnumeric2 unique values
0 missing
yuetnumeric2 unique values
0 missing
orfnumeric4 unique values
0 missing
seyrnumeric2 unique values
0 missing
mclarennumeric2 unique values
0 missing
yoknumeric2 unique values
0 missing
linshengnumeric2 unique values
0 missing
tsangnumeric3 unique values
0 missing
tobianumeric4 unique values
0 missing
farzadnumeric4 unique values
0 missing
persecutornumeric2 unique values
0 missing
nanshengnumeric2 unique values
0 missing
ceipnumeric2 unique values
0 missing
silenumeric2 unique values
0 missing
baxendalnumeric4 unique values
0 missing
presileinumeric2 unique values
0 missing
pantheonnumeric2 unique values
0 missing
daphnenumeric3 unique values
0 missing
sulomnumeric4 unique values
0 missing
polhillnumeric5 unique values
0 missing
jacobsennumeric3 unique values
0 missing
krytronnumeric2 unique values
0 missing
babylonnumeric3 unique values
0 missing
algonumeric2 unique values
0 missing
calientnumeric4 unique values
0 missing
blancornelanumeric4 unique values
0 missing
rhonnumeric2 unique values
0 missing
gossipinumeric2 unique values
0 missing
lampoonnumeric2 unique values
0 missing
victorianonumeric2 unique values
0 missing
mughniyahnumeric4 unique values
0 missing
cicippionumeric3 unique values
0 missing
fahimanumeric3 unique values
0 missing
bicyclistnumeric4 unique values
0 missing
smashernumeric4 unique values
0 missing
tutwilnumeric3 unique values
0 missing
carlsonnumeric4 unique values
0 missing
mauranumeric3 unique values
0 missing
oberoinumeric2 unique values
0 missing
corkinumeric3 unique values
0 missing
boteronumeric2 unique values
0 missing
nguoinumeric2 unique values
0 missing
mcmurtrinumeric3 unique values
0 missing
healinumeric2 unique values
0 missing
nolvadexnumeric3 unique values
0 missing
antacidnumeric5 unique values
0 missing
sandoznumeric7 unique values
0 missing
isalinumeric3 unique values
0 missing
wyethnumeric3 unique values
0 missing
marithzanumeric2 unique values
0 missing
vielmannumeric4 unique values
0 missing
vladislovanumeric2 unique values
0 missing
domarkanumeric5 unique values
0 missing
cnoocnumeric3 unique values
0 missing
shikotannumeric2 unique values
0 missing
severinonumeric6 unique values
0 missing
nemuronumeric5 unique values
0 missing
kunashirnumeric4 unique values
0 missing
etorofunumeric4 unique values
0 missing
habomainumeric2 unique values
0 missing
kunashirinumeric4 unique values
0 missing
pirannumeric6 unique values
0 missing
monjenumeric3 unique values
0 missing
antichnumeric2 unique values
0 missing
carlotanumeric2 unique values
0 missing
paracelnumeric5 unique values
0 missing
charodeyevnumeric2 unique values
0 missing
keiichinumeric2 unique values
0 missing
karolonumeric3 unique values
0 missing
papoulianumeric3 unique values
0 missing
phitsuwannumeric2 unique values
0 missing
surinnumeric4 unique values
0 missing
crestonnumeric7 unique values
0 missing
alcornnumeric4 unique values
0 missing
vaalconumeric3 unique values
0 missing
kalayaannumeric3 unique values
0 missing
chinhnumeric6 unique values
0 missing
dqaxnumeric2 unique values
0 missing
dqinhjnumeric2 unique values
0 missing
vieetjnumeric2 unique values
0 missing
cuarnumeric2 unique values
0 missing
khawngrnumeric2 unique values
0 missing
nayfnumeric2 unique values
0 missing
huunumeric4 unique values
0 missing
baldvinnumeric3 unique values
0 missing
hannibalssonnumeric4 unique values
0 missing
bikanumeric3 unique values
0 missing
godalnumeric4 unique values
0 missing
svalbardnumeric4 unique values
0 missing
petrovietnamnumeric3 unique values
0 missing
wananbeinumeric3 unique values
0 missing
tuchinhnumeric2 unique values
0 missing
thanhlongnumeric3 unique values
0 missing
waspnumeric3 unique values
0 missing
wilkinnumeric2 unique values
0 missing
pptnumeric4 unique values
0 missing
humertonumeric2 unique values
0 missing
methadonnumeric6 unique values
0 missing
dandeninumeric2 unique values
0 missing
molehilnumeric2 unique values
0 missing
platzspitznumeric3 unique values
0 missing
schmokenumeric4 unique values
0 missing
givennumeric3 unique values
0 missing
creamernumeric3 unique values
0 missing
thiaminnumeric3 unique values
0 missing
goodenumeric3 unique values
0 missing
leucinnumeric3 unique values
0 missing
antipsychotnumeric4 unique values
0 missing
niacinnumeric3 unique values
0 missing
argininnumeric3 unique values
0 missing
mitropoulonumeric4 unique values
0 missing
thimionumeric2 unique values
0 missing
waglannumeric2 unique values
0 missing
imbnumeric4 unique values
0 missing
prahovonumeric4 unique values
0 missing
kubratnumeric4 unique values
0 missing
zelenkonumeric4 unique values
0 missing
laetitianumeric2 unique values
0 missing
fuenterrabianumeric2 unique values
0 missing
hendaynumeric2 unique values
0 missing
bayonnnumeric3 unique values
0 missing
yurielanumeric2 unique values
0 missing
sagelnumeric2 unique values
0 missing
huangshannumeric2 unique values
0 missing
qiandaohunumeric3 unique values
0 missing
arrivistnumeric2 unique values
0 missing
klinghoffnumeric6 unique values
0 missing
strollernumeric2 unique values
0 missing
cerritonumeric3 unique values
0 missing
bidongnumeric3 unique values
0 missing
baryshnikovnumeric4 unique values
0 missing
wendtnumeric4 unique values
0 missing
varmunumeric3 unique values
0 missing
hudnallnumeric2 unique values
0 missing
hfynumeric2 unique values
0 missing
malkinnumeric2 unique values
0 missing
betaseronnumeric7 unique values
0 missing
sorbitolnumeric5 unique values
0 missing
caramelnumeric3 unique values
0 missing
stearylnumeric4 unique values
0 missing
codexnumeric7 unique values
0 missing
foodbornnumeric4 unique values
0 missing
zajacnumeric2 unique values
0 missing
kokoskinumeric2 unique values
0 missing
tertnumeric4 unique values
0 missing
homburgnumeric2 unique values
0 missing
kargernumeric2 unique values
0 missing
nectarinnumeric4 unique values
0 missing
ffdcanumeric8 unique values
0 missing
postmarketnumeric4 unique values
0 missing
cheesemannumeric2 unique values
0 missing
scombroidnumeric3 unique values
0 missing
nacmcfnumeric3 unique values
0 missing
shucknumeric3 unique values
0 missing
effervescnumeric4 unique values
0 missing
nannienumeric2 unique values
0 missing
milkfatnumeric4 unique values
0 missing
dentifricnumeric2 unique values
0 missing
prolinnumeric2 unique values
0 missing
mobainumeric4 unique values
0 missing
glycinnumeric2 unique values
0 missing
lactosnumeric4 unique values
0 missing
oxonumeric3 unique values
0 missing
eyelidnumeric2 unique values
0 missing
eyelashnumeric2 unique values
0 missing
conjunctivnumeric3 unique values
0 missing
sutronumeric2 unique values
0 missing
seroquelnumeric3 unique values
0 missing
risperdnumeric3 unique values
0 missing
dyskinesianumeric2 unique values
0 missing
roxiamnumeric3 unique values
0 missing
halcionnumeric3 unique values
0 missing
lopidnumeric3 unique values
0 missing
dnasenumeric4 unique values
0 missing
thorazinnumeric3 unique values
0 missing
haldolnumeric3 unique values
0 missing
fluoxetinnumeric2 unique values
0 missing
dormnumeric2 unique values
0 missing
mellarilnumeric3 unique values
0 missing
preclinnumeric2 unique values
0 missing
vaudnumeric2 unique values
0 missing
forgemastnumeric3 unique values
0 missing
teledynnumeric3 unique values
0 missing
muttukumarunumeric3 unique values
0 missing
glazebrooknumeric4 unique values
0 missing
inquisitorinumeric2 unique values
0 missing
piinumeric7 unique values
0 missing
hoskernumeric4 unique values
0 missing
girindunumeric4 unique values
0 missing
perchlornumeric2 unique values
0 missing
dialyznumeric4 unique values
0 missing
epoetinnumeric3 unique values
0 missing
hyperkalemianumeric2 unique values
0 missing
ddcnumeric7 unique values
0 missing
pulmozymnumeric4 unique values
0 missing
ingelheimnumeric3 unique values
0 missing
monotherapinumeric2 unique values
0 missing
cariniinumeric3 unique values
0 missing
zidovudinnumeric3 unique values
0 missing
serononumeric4 unique values
0 missing
saquinavirnumeric3 unique values
0 missing
protropinnumeric2 unique values
0 missing
schramnumeric4 unique values
0 missing
pneumocystinumeric6 unique values
0 missing
pentamidinnumeric7 unique values
0 missing
lyphomnumeric5 unique values
0 missing
ganciclovirnumeric3 unique values
0 missing
zonananumeric2 unique values
0 missing
volberdnumeric4 unique values
0 missing
mathildnumeric2 unique values
0 missing
krimnumeric2 unique values
0 missing
hothnumeric3 unique values
0 missing
schooleinumeric4 unique values
0 missing
icnnumeric6 unique values
0 missing
planfornumeric4 unique values
0 missing
xapurinumeric5 unique values
0 missing
inefannumeric4 unique values
0 missing
ballennumeric2 unique values
0 missing
ittonumeric4 unique values
0 missing
garimpeironumeric4 unique values
0 missing
uncrowdnumeric2 unique values
0 missing

107 properties

9558
Number of instances (rows) of the dataset.
26833
Number of attributes (columns) of the dataset.
44
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.
26832
Number of numeric attributes.
1
Number of nominal attributes.
1
Average class difference between consecutive instances.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.36
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.36
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.36
Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W
5.26
Entropy of the target attribute values.
0.67
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
0.91
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
0.05
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
2.81
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.34
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
0.65
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
7.28
Percentage of instances belonging to the most frequent class.
696
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
9555.45
Maximum kurtosis among attributes of the numeric type.
2.93
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
44
The maximum number of distinct values among attributes of the nominal type.
97.75
Maximum skewness among attributes of the numeric type.
62.55
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
2760.11
Mean kurtosis among attributes of the numeric type.
0.02
Mean of means among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
44
Average number of distinct values among the attributes of the nominal type.
46.14
Mean skewness among attributes of the numeric type.
0.31
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.79
Minimum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
44
The minimal number of distinct values among attributes of the nominal type.
0.45
Minimum skewness among attributes of the numeric type.
0.02
Minimum standard deviation of attributes of the numeric type.
1.09
Percentage of instances belonging to the least frequent class.
104
Number of instances belonging to the least frequent class.
0.87
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.43
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.55
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
100
Percentage of numeric attributes.
0
Percentage of nominal attributes.
First quartile of entropy among attributes.
1142.87
First quartile of kurtosis among attributes of the numeric type.
0
First quartile of means among attributes of the numeric type.
First quartile of mutual information between the nominal attributes and the target attribute.
30.87
First quartile of skewness among attributes of the numeric type.
0.03
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
2385.75
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
46.25
Second quartile (Median) of skewness among attributes of the numeric type.
0.06
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
3703.38
Third quartile of kurtosis among attributes of the numeric type.
0.01
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
57.51
Third quartile of skewness among attributes of the numeric type.
0.16
Third quartile of standard deviation of attributes of the numeric type.
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.36
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.36
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.36
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.63
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.77
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.77
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
0.6
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.77
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0.21
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
0
Standard deviation of the number of distinct values among attributes of the nominal type.
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
0.68
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
0.3
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

22 tasks

49 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
18 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: CLASS_LABEL
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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