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Dexter

Dexter

active Sparse_ARFF Publicly available Visibility: public Uploaded 08-11-2015 by unknown
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DEXTER is a text classification problem in a bag-of-word representation. This is a two-class classification problem with sparse continuous input variables. This dataset is one of five datasets of the NIPS 2003 feature selection challenge. Source: a. Original owners The original data set we used is a subset of the well-known Reuters text categorization benchmark. The data was originally collected and labeled by Carnegie Group, Inc. and Reuters, Ltd. in the course of developing the CONSTRUE text categorization system. It is hosted by the UCI KDD repository: http://kdd.ics.uci.edu/databases/reuters21578/reuters21578.html. David D. Lewis is hosting valuable resources about this data (see http://www.daviddlewis.com/resources/testcollections/reuters21578/). We used the “corporate acquisition” text classification class pre-processed by Thorsten Joachims <thorsten '@' joachims.org>. The data is one of the examples of the software package SVM-Light., see http://svmlight.joachims.org/. The example can be downloaded from ftp://ftp-ai.cs.uni-dortmund.de/pub/Users/thorsten/svm_light/examples/example1.tar.gz. b. Donor of database This version of the database was prepared for the NIPS 2003 variable and feature selection benchmark by Isabelle Guyon, 955 Creston Road, Berkeley, CA 94708, USA (isabelle '@' clopinet.com). Data Set Information: The original data were formatted by Thorsten Joachims in the “bag-of-words” representation. There were 9947 features (of which 2562 are always zeros for all the examples) representing frequencies of occurrence of word stems in text. The task is to learn which Reuters articles are about 'corporate acquisitions'. We added a number of distractor feature called 'probes' having no predictive power. The order of the features and patterns were randomized. DEXTER -- Positive ex. -- Negative ex. -- Total Training set --150 -- 150 -- 300 Validation set -- 150 -- 150 -- 300 Test set -- 1000 -- 1000 -- 2000 All -- 1300 -- 1300 -- 2600 Number of variables/features/attributes: Real: 9947 Probes: 10053 Total: 20000

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V19221numeric1 unique values
0 missing
V19222numeric3 unique values
0 missing
V19223numeric3 unique values
0 missing
V19224numeric3 unique values
0 missing
V19225numeric1 unique values
0 missing
V19226numeric1 unique values
0 missing
V19227numeric1 unique values
0 missing
V19228numeric2 unique values
0 missing
V19229numeric1 unique values
0 missing
V19230numeric2 unique values
0 missing
V19231numeric9 unique values
0 missing
V19232numeric1 unique values
0 missing
V19233numeric3 unique values
0 missing
V19234numeric1 unique values
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V19235numeric1 unique values
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V19236numeric1 unique values
0 missing
V19237numeric2 unique values
0 missing
V19238numeric1 unique values
0 missing
V19239numeric6 unique values
0 missing
V19240numeric3 unique values
0 missing
V19241numeric3 unique values
0 missing
V19242numeric3 unique values
0 missing
V19243numeric3 unique values
0 missing
V19244numeric1 unique values
0 missing
V19245numeric2 unique values
0 missing
V19246numeric48 unique values
0 missing
V19247numeric4 unique values
0 missing
V19248numeric5 unique values
0 missing
V19249numeric2 unique values
0 missing
V19250numeric3 unique values
0 missing
V19251numeric1 unique values
0 missing
V19252numeric1 unique values
0 missing
V19253numeric2 unique values
0 missing
V19254numeric111 unique values
0 missing
V19255numeric1 unique values
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V19256numeric1 unique values
0 missing
V19257numeric1 unique values
0 missing
V19258numeric1 unique values
0 missing
V19259numeric2 unique values
0 missing
V19260numeric11 unique values
0 missing
V19261numeric1 unique values
0 missing
V19262numeric4 unique values
0 missing
V19263numeric4 unique values
0 missing
V19264numeric9 unique values
0 missing
V19265numeric5 unique values
0 missing
V19266numeric4 unique values
0 missing
V19267numeric1 unique values
0 missing
V19268numeric7 unique values
0 missing
V19269numeric1 unique values
0 missing
V19270numeric6 unique values
0 missing
V19271numeric9 unique values
0 missing
V19272numeric1 unique values
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V19273numeric1 unique values
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V19274numeric1 unique values
0 missing
V19275numeric1 unique values
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V19276numeric3 unique values
0 missing
V19277numeric52 unique values
0 missing
V19278numeric1 unique values
0 missing
V19279numeric3 unique values
0 missing
V19280numeric1 unique values
0 missing
V19281numeric17 unique values
0 missing
V19282numeric1 unique values
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V19283numeric2 unique values
0 missing
V19284numeric2 unique values
0 missing
V19285numeric1 unique values
0 missing
V19286numeric15 unique values
0 missing
V19287numeric3 unique values
0 missing
V19288numeric3 unique values
0 missing
V19289numeric7 unique values
0 missing
V19290numeric5 unique values
0 missing
V19291numeric1 unique values
0 missing
V19292numeric16 unique values
0 missing
V19293numeric1 unique values
0 missing
V19294numeric1 unique values
0 missing
V19295numeric1 unique values
0 missing
V19296numeric1 unique values
0 missing
V19297numeric3 unique values
0 missing
V19298numeric1 unique values
0 missing
V19299numeric2 unique values
0 missing
V19300numeric1 unique values
0 missing
V19301numeric2 unique values
0 missing
V19302numeric2 unique values
0 missing
V19303numeric1 unique values
0 missing
V19304numeric2 unique values
0 missing
V19305numeric1 unique values
0 missing
V19306numeric1 unique values
0 missing
V19307numeric1 unique values
0 missing
V19308numeric32 unique values
0 missing
V19309numeric1 unique values
0 missing
V19310numeric3 unique values
0 missing
V19311numeric1 unique values
0 missing
V19312numeric4 unique values
0 missing
V19313numeric8 unique values
0 missing
V19314numeric1 unique values
0 missing
V19315numeric2 unique values
0 missing
V19316numeric1 unique values
0 missing
V19317numeric2 unique values
0 missing
V19318numeric2 unique values
0 missing
V19830numeric7 unique values
0 missing
V19660numeric1 unique values
0 missing
V19661numeric1 unique values
0 missing
V19662numeric2 unique values
0 missing
V19663numeric4 unique values
0 missing
V19664numeric1 unique values
0 missing
V19665numeric1 unique values
0 missing
V19666numeric1 unique values
0 missing
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0 missing
V19668numeric1 unique values
0 missing
V19669numeric1 unique values
0 missing
V19670numeric2 unique values
0 missing
V19671numeric1 unique values
0 missing
V19672numeric1 unique values
0 missing
V19673numeric9 unique values
0 missing
V19674numeric1 unique values
0 missing
V19675numeric5 unique values
0 missing
V19676numeric3 unique values
0 missing
V19677numeric4 unique values
0 missing
V19678numeric1 unique values
0 missing
V19679numeric3 unique values
0 missing
V19680numeric1 unique values
0 missing
V19681numeric1 unique values
0 missing
V19682numeric2 unique values
0 missing
V19683numeric1 unique values
0 missing
V19684numeric83 unique values
0 missing
V19685numeric2 unique values
0 missing
V19686numeric1 unique values
0 missing
V19687numeric7 unique values
0 missing
V19688numeric1 unique values
0 missing
V19689numeric2 unique values
0 missing
V19690numeric1 unique values
0 missing
V19691numeric2 unique values
0 missing
V19692numeric2 unique values
0 missing
V19693numeric4 unique values
0 missing
V19694numeric2 unique values
0 missing
V19695numeric2 unique values
0 missing
V19696numeric1 unique values
0 missing
V19697numeric1 unique values
0 missing
V19698numeric7 unique values
0 missing
V19699numeric1 unique values
0 missing
V19700numeric1 unique values
0 missing
V19701numeric1 unique values
0 missing
V19702numeric1 unique values
0 missing
V19703numeric3 unique values
0 missing
V19704numeric4 unique values
0 missing
V19705numeric1 unique values
0 missing
V19706numeric33 unique values
0 missing
V19707numeric2 unique values
0 missing
V19708numeric2 unique values
0 missing
V19709numeric3 unique values
0 missing
V19710numeric1 unique values
0 missing
V19711numeric4 unique values
0 missing
V19712numeric1 unique values
0 missing
V19713numeric1 unique values
0 missing
V19714numeric3 unique values
0 missing
V19715numeric2 unique values
0 missing
V19716numeric1 unique values
0 missing
V19717numeric3 unique values
0 missing
V19718numeric1 unique values
0 missing
V19719numeric2 unique values
0 missing
V19720numeric2 unique values
0 missing
V19721numeric1 unique values
0 missing
V19722numeric2 unique values
0 missing
V19723numeric2 unique values
0 missing
V19724numeric1 unique values
0 missing
V19725numeric2 unique values
0 missing
V19726numeric2 unique values
0 missing
V19727numeric1 unique values
0 missing
V19728numeric3 unique values
0 missing
V19729numeric2 unique values
0 missing
V19730numeric1 unique values
0 missing
V19731numeric2 unique values
0 missing
V19732numeric1 unique values
0 missing
V19733numeric1 unique values
0 missing
V19734numeric3 unique values
0 missing
V19735numeric1 unique values
0 missing
V19736numeric8 unique values
0 missing
V19737numeric5 unique values
0 missing
V19738numeric29 unique values
0 missing
V19739numeric1 unique values
0 missing
V19740numeric1 unique values
0 missing
V19741numeric3 unique values
0 missing
V19742numeric1 unique values
0 missing
V19743numeric2 unique values
0 missing
V19744numeric3 unique values
0 missing
V19745numeric2 unique values
0 missing
V19746numeric1 unique values
0 missing
V19747numeric1 unique values
0 missing
V19748numeric1 unique values
0 missing
V19749numeric4 unique values
0 missing
V19750numeric2 unique values
0 missing
V19751numeric6 unique values
0 missing
V19752numeric7 unique values
0 missing
V19753numeric1 unique values
0 missing
V19754numeric3 unique values
0 missing
V19755numeric11 unique values
0 missing
V19756numeric4 unique values
0 missing
V19757numeric12 unique values
0 missing
V19758numeric3 unique values
0 missing
V19759numeric3 unique values
0 missing
V19760numeric1 unique values
0 missing
V19761numeric1 unique values
0 missing
V19762numeric1 unique values
0 missing
V19763numeric2 unique values
0 missing
V19764numeric2 unique values
0 missing
V19765numeric1 unique values
0 missing
V19766numeric2 unique values
0 missing
V19767numeric1 unique values
0 missing
V19768numeric5 unique values
0 missing
V19769numeric2 unique values
0 missing
V19770numeric2 unique values
0 missing
V19771numeric1 unique values
0 missing
V19772numeric1 unique values
0 missing
V19773numeric47 unique values
0 missing
V19774numeric3 unique values
0 missing
V19775numeric2 unique values
0 missing
V19776numeric3 unique values
0 missing
V19777numeric12 unique values
0 missing
V19778numeric2 unique values
0 missing
V19779numeric1 unique values
0 missing
V19780numeric1 unique values
0 missing
V19781numeric1 unique values
0 missing
V19782numeric7 unique values
0 missing
V19783numeric3 unique values
0 missing
V19784numeric1 unique values
0 missing
V19785numeric11 unique values
0 missing
V19786numeric76 unique values
0 missing
V19787numeric6 unique values
0 missing
V19788numeric1 unique values
0 missing
V19789numeric4 unique values
0 missing
V19790numeric3 unique values
0 missing
V19791numeric1 unique values
0 missing
V19792numeric1 unique values
0 missing
V19793numeric2 unique values
0 missing
V19794numeric2 unique values
0 missing
V19795numeric2 unique values
0 missing
V19796numeric2 unique values
0 missing
V19797numeric2 unique values
0 missing
V19798numeric8 unique values
0 missing
V19799numeric1 unique values
0 missing
V19800numeric13 unique values
0 missing
V19801numeric1 unique values
0 missing
V19802numeric2 unique values
0 missing
V19803numeric1 unique values
0 missing
V19804numeric5 unique values
0 missing
V19805numeric2 unique values
0 missing
V19806numeric2 unique values
0 missing
V19807numeric1 unique values
0 missing
V19808numeric25 unique values
0 missing
V19809numeric1 unique values
0 missing
V19810numeric1 unique values
0 missing
V19811numeric8 unique values
0 missing
V19812numeric2 unique values
0 missing
V19813numeric3 unique values
0 missing
V19814numeric1 unique values
0 missing
V19815numeric1 unique values
0 missing
V19816numeric2 unique values
0 missing
V19817numeric3 unique values
0 missing
V19818numeric1 unique values
0 missing
V19819numeric1 unique values
0 missing
V19820numeric2 unique values
0 missing
V19821numeric3 unique values
0 missing
V19822numeric12 unique values
0 missing
V19823numeric1 unique values
0 missing
V19824numeric4 unique values
0 missing
V19825numeric4 unique values
0 missing
V19826numeric1 unique values
0 missing
V19827numeric1 unique values
0 missing
V19828numeric3 unique values
0 missing
V19829numeric2 unique values
0 missing
V19915numeric2 unique values
0 missing
V19999numeric1 unique values
0 missing
V19998numeric11 unique values
0 missing
V19997numeric4 unique values
0 missing
V19996numeric2 unique values
0 missing
V19995numeric4 unique values
0 missing
V19994numeric1 unique values
0 missing
V19993numeric2 unique values
0 missing
V19992numeric5 unique values
0 missing
V19991numeric3 unique values
0 missing
V19990numeric1 unique values
0 missing
V19989numeric3 unique values
0 missing
V19988numeric1 unique values
0 missing
V19987numeric3 unique values
0 missing
V19986numeric1 unique values
0 missing
V19985numeric1 unique values
0 missing
V19984numeric6 unique values
0 missing
V19983numeric5 unique values
0 missing
V19982numeric1 unique values
0 missing
V19981numeric5 unique values
0 missing
V19980numeric1 unique values
0 missing
V19979numeric3 unique values
0 missing
V19978numeric1 unique values
0 missing
V19977numeric1 unique values
0 missing
V19976numeric1 unique values
0 missing
V19975numeric2 unique values
0 missing
V19974numeric3 unique values
0 missing
V19973numeric1 unique values
0 missing
V19972numeric34 unique values
0 missing
V19971numeric1 unique values
0 missing
V19970numeric2 unique values
0 missing
V19969numeric4 unique values
0 missing
V19968numeric1 unique values
0 missing
V19967numeric1 unique values
0 missing
V19966numeric1 unique values
0 missing
V19965numeric3 unique values
0 missing
V19964numeric1 unique values
0 missing
V19963numeric1 unique values
0 missing
V19962numeric1 unique values
0 missing
V19961numeric2 unique values
0 missing
V19960numeric5 unique values
0 missing
V19959numeric1 unique values
0 missing
V19958numeric3 unique values
0 missing
V19957numeric1 unique values
0 missing
V19956numeric1 unique values
0 missing
V19955numeric1 unique values
0 missing
V19954numeric9 unique values
0 missing
V19953numeric1 unique values
0 missing
V19952numeric10 unique values
0 missing
V19951numeric1 unique values
0 missing
V19950numeric3 unique values
0 missing
V19949numeric2 unique values
0 missing
V19948numeric2 unique values
0 missing
V19947numeric1 unique values
0 missing
V19946numeric9 unique values
0 missing
V19945numeric3 unique values
0 missing
V19944numeric1 unique values
0 missing
V19943numeric2 unique values
0 missing
V19942numeric1 unique values
0 missing
V19941numeric2 unique values
0 missing
V19940numeric3 unique values
0 missing
V19939numeric2 unique values
0 missing
V19938numeric2 unique values
0 missing
V19937numeric2 unique values
0 missing
V19936numeric4 unique values
0 missing
V19935numeric2 unique values
0 missing
V19934numeric27 unique values
0 missing
V19933numeric1 unique values
0 missing
V19932numeric1 unique values
0 missing
V19931numeric9 unique values
0 missing
V19930numeric1 unique values
0 missing
V19929numeric1 unique values
0 missing
V19928numeric1 unique values
0 missing
V19927numeric12 unique values
0 missing
V19926numeric1 unique values
0 missing
V19925numeric71 unique values
0 missing
V19924numeric6 unique values
0 missing
V19923numeric5 unique values
0 missing
V19922numeric3 unique values
0 missing
V19921numeric1 unique values
0 missing
V19920numeric56 unique values
0 missing
V19919numeric1 unique values
0 missing
V19918numeric3 unique values
0 missing
V19917numeric1 unique values
0 missing
V19916numeric1 unique values
0 missing
V19873numeric3 unique values
0 missing
V19831numeric1 unique values
0 missing
V19832numeric1 unique values
0 missing
V19833numeric15 unique values
0 missing
V19834numeric1 unique values
0 missing
V19835numeric1 unique values
0 missing
V19836numeric1 unique values
0 missing
V19837numeric1 unique values
0 missing
V19838numeric1 unique values
0 missing
V19839numeric1 unique values
0 missing
V19840numeric2 unique values
0 missing
V19841numeric2 unique values
0 missing
V19842numeric4 unique values
0 missing
V19843numeric2 unique values
0 missing
V19844numeric2 unique values
0 missing
V19845numeric2 unique values
0 missing
V19846numeric1 unique values
0 missing
V19847numeric2 unique values
0 missing
V19848numeric2 unique values
0 missing
V19849numeric2 unique values
0 missing
V19850numeric1 unique values
0 missing
V19851numeric2 unique values
0 missing
V19852numeric1 unique values
0 missing
V19853numeric2 unique values
0 missing
V19854numeric2 unique values
0 missing
V19855numeric1 unique values
0 missing
V19856numeric1 unique values
0 missing
V19857numeric1 unique values
0 missing
V19858numeric2 unique values
0 missing
V19859numeric1 unique values
0 missing
V19860numeric2 unique values
0 missing
V19861numeric1 unique values
0 missing
V19862numeric1 unique values
0 missing
V19863numeric2 unique values
0 missing
V19864numeric1 unique values
0 missing
V19865numeric1 unique values
0 missing
V19866numeric1 unique values
0 missing
V19867numeric1 unique values
0 missing
V19868numeric2 unique values
0 missing
V19869numeric1 unique values
0 missing
V19870numeric1 unique values
0 missing
V19871numeric1 unique values
0 missing
V19872numeric31 unique values
0 missing
V19905numeric1 unique values
0 missing
V19895numeric4 unique values
0 missing
V19896numeric2 unique values
0 missing
V19897numeric1 unique values
0 missing
V19898numeric1 unique values
0 missing
V19899numeric3 unique values
0 missing
V19900numeric1 unique values
0 missing
V19901numeric2 unique values
0 missing
V19902numeric2 unique values
0 missing
V19903numeric3 unique values
0 missing
V19904numeric2 unique values
0 missing
V19910numeric2 unique values
0 missing
V19914numeric1 unique values
0 missing
V19913numeric3 unique values
0 missing
V19912numeric1 unique values
0 missing
V19911numeric1 unique values
0 missing
V19908numeric2 unique values
0 missing
V19906numeric1 unique values
0 missing
V19907numeric4 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
600
Number of instances (rows) of the dataset.
NumberOfFeatures
20001
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
20000
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
AutoCorrelation
0.51
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.68
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
CfsSubsetEval_DecisionStumpErrRate
0.32
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
CfsSubsetEval_DecisionStumpKappa
0.37
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
CfsSubsetEval_NaiveBayesAUC
0.95
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
CfsSubsetEval_NaiveBayesErrRate
0.11
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
CfsSubsetEval_NaiveBayesKappa
0.77
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
CfsSubsetEval_kNN1NAUC
0.84
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
CfsSubsetEval_kNN1NErrRate
0.17
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
CfsSubsetEval_kNN1NKappa
0.67
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
ClassEntropy
1
Entropy of the target attribute values.
DecisionStumpAUC
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
33.34
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.
J48.00001.AUC
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.69
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.86
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.16
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.69
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.15
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.71
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
50
Percentage of instances belonging to the most frequent class.
MajorityClassSize
300
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
600
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
322.69
Maximum of means among attributes of the numeric type.
MaxMutualInformation
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
24.49
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
169.75
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
417.25
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.47
Mean of means among attributes of the numeric type.
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
2
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
19.42
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
4.54
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
0.04
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
MinMutualInformation
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
0.45
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
50
Percentage of instances belonging to the least frequent class.
MinorityClassSize
300
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.11
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.79
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
1
Number of binary attributes.
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
253.71
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0
First quartile of means among attributes of the numeric type.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
Quartile1SkewnessOfNumericAtts
15.5
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
481.12
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.1
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
21.4
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
2.29
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
600
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.34
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
24.49
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
6.17
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.4
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.7
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.3
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.4
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.85
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.22
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.55
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.01
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
StdvNominalAttDistinctValues
0
Standard deviation of the number of distinct values among attributes of the nominal type.
kNN1NAUC
0.68
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.32
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.37
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

21 tasks

Supervised Classification on Dexter
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on Dexter
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on Dexter
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on Dexter
0 runs
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
Clustering on Dexter
0 runs - estimation_procedure: 50 times Clustering
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