Data
Dexter

Dexter

active Sparse_ARFF Publicly available Visibility: public Uploaded 08-11-2015 by Gabriel Prat
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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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V8455numeric1 unique values
0 missing
V8711numeric1 unique values
0 missing
V8967numeric2 unique values
0 missing
V9223numeric1 unique values
0 missing
V9479numeric5 unique values
0 missing
V9735numeric3 unique values
0 missing
V9991numeric1 unique values
0 missing
V10247numeric1 unique values
0 missing
V10503numeric1 unique values
0 missing
V10759numeric2 unique values
0 missing
V11015numeric1 unique values
0 missing
V11271numeric7 unique values
0 missing
V11527numeric2 unique values
0 missing
V11783numeric2 unique values
0 missing
V12039numeric3 unique values
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V12295numeric2 unique values
0 missing
V12551numeric4 unique values
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V12807numeric3 unique values
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V13063numeric2 unique values
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V13319numeric1 unique values
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V13575numeric2 unique values
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V13831numeric4 unique values
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V14087numeric1 unique values
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V14343numeric4 unique values
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V15623numeric1 unique values
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V15879numeric1 unique values
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V16135numeric2 unique values
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V16391numeric2 unique values
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V16647numeric1 unique values
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V16903numeric1 unique values
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V17159numeric4 unique values
0 missing
V17415numeric1 unique values
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V17671numeric2 unique values
0 missing
V17927numeric5 unique values
0 missing
V18183numeric1 unique values
0 missing
V18439numeric1 unique values
0 missing
V18695numeric5 unique values
0 missing
V18951numeric2 unique values
0 missing
V19207numeric4 unique values
0 missing
V19463numeric1 unique values
0 missing
V19719numeric2 unique values
0 missing
V19975numeric2 unique values
0 missing
V8numeric4 unique values
0 missing
V264numeric2 unique values
0 missing
V520numeric1 unique values
0 missing
V776numeric1 unique values
0 missing
V1032numeric3 unique values
0 missing
V1288numeric2 unique values
0 missing
V1544numeric1 unique values
0 missing
V1800numeric5 unique values
0 missing
V2056numeric1 unique values
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V2312numeric1 unique values
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V2568numeric2 unique values
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V2824numeric2 unique values
0 missing
V3080numeric2 unique values
0 missing
V3336numeric20 unique values
0 missing
V3592numeric2 unique values
0 missing
V3848numeric9 unique values
0 missing
V4104numeric1 unique values
0 missing
V4360numeric1 unique values
0 missing
V4616numeric12 unique values
0 missing
V4872numeric1 unique values
0 missing
V5128numeric2 unique values
0 missing
V5384numeric16 unique values
0 missing
V5640numeric1 unique values
0 missing
V5896numeric4 unique values
0 missing
V6152numeric41 unique values
0 missing
V6408numeric4 unique values
0 missing
V6664numeric1 unique values
0 missing
V6920numeric1 unique values
0 missing
V7176numeric2 unique values
0 missing
V7432numeric1 unique values
0 missing
V7688numeric1 unique values
0 missing
V7944numeric4 unique values
0 missing
V8200numeric3 unique values
0 missing
V8456numeric4 unique values
0 missing
V8712numeric1 unique values
0 missing
V8968numeric2 unique values
0 missing
V9224numeric1 unique values
0 missing
V9480numeric2 unique values
0 missing
V9736numeric1 unique values
0 missing
V9992numeric1 unique values
0 missing
V10248numeric2 unique values
0 missing
V10504numeric1 unique values
0 missing
V10760numeric2 unique values
0 missing
V11016numeric2 unique values
0 missing
V11272numeric3 unique values
0 missing
V11528numeric3 unique values
0 missing
V11784numeric2 unique values
0 missing
V12040numeric1 unique values
0 missing
V12296numeric2 unique values
0 missing
V12552numeric1 unique values
0 missing
V12808numeric1 unique values
0 missing
V13064numeric1 unique values
0 missing
V13320numeric1 unique values
0 missing
V13576numeric1 unique values
0 missing
V13832numeric2 unique values
0 missing
V14088numeric1 unique values
0 missing
V14344numeric1 unique values
0 missing
V14600numeric1 unique values
0 missing
V14856numeric1 unique values
0 missing
V15112numeric1 unique values
0 missing
V15368numeric8 unique values
0 missing
V15624numeric1 unique values
0 missing
V15880numeric2 unique values
0 missing
V16136numeric1 unique values
0 missing
V16392numeric1 unique values
0 missing
V16648numeric1 unique values
0 missing
V16904numeric21 unique values
0 missing
V17160numeric4 unique values
0 missing
V17416numeric7 unique values
0 missing
V17672numeric1 unique values
0 missing
V17928numeric2 unique values
0 missing
V18184numeric1 unique values
0 missing
V18440numeric2 unique values
0 missing
V18696numeric6 unique values
0 missing
V18952numeric1 unique values
0 missing
V19208numeric2 unique values
0 missing
V19464numeric3 unique values
0 missing
V19720numeric2 unique values
0 missing
V19976numeric1 unique values
0 missing
V9numeric2 unique values
0 missing
V265numeric1 unique values
0 missing
V521numeric1 unique values
0 missing
V777numeric1 unique values
0 missing
V1033numeric1 unique values
0 missing
V1289numeric2 unique values
0 missing
V1545numeric1 unique values
0 missing
V1801numeric7 unique values
0 missing
V2057numeric5 unique values
0 missing
V2313numeric1 unique values
0 missing
V2569numeric1 unique values
0 missing
V2825numeric1 unique values
0 missing
V3081numeric2 unique values
0 missing
V3337numeric2 unique values
0 missing
V3593numeric2 unique values
0 missing
V3849numeric2 unique values
0 missing
V4105numeric1 unique values
0 missing
V4361numeric7 unique values
0 missing
V4617numeric1 unique values
0 missing
V4873numeric2 unique values
0 missing
V5129numeric4 unique values
0 missing
V5385numeric3 unique values
0 missing
V5641numeric1 unique values
0 missing
V5897numeric3 unique values
0 missing
V6153numeric2 unique values
0 missing
V6409numeric1 unique values
0 missing
V6665numeric12 unique values
0 missing
V6921numeric2 unique values
0 missing
V7177numeric1 unique values
0 missing
V7433numeric1 unique values
0 missing
V7689numeric10 unique values
0 missing
V7945numeric2 unique values
0 missing
V8201numeric4 unique values
0 missing
V8457numeric2 unique values
0 missing
V8713numeric2 unique values
0 missing
V8969numeric2 unique values
0 missing
V9225numeric4 unique values
0 missing
V9481numeric1 unique values
0 missing
V9737numeric1 unique values
0 missing
V9993numeric1 unique values
0 missing
V10249numeric2 unique values
0 missing
V10505numeric2 unique values
0 missing
V10761numeric1 unique values
0 missing
V11017numeric23 unique values
0 missing
V11273numeric1 unique values
0 missing
V11529numeric8 unique values
0 missing
V11785numeric2 unique values
0 missing
V12041numeric3 unique values
0 missing
V12297numeric2 unique values
0 missing
V12553numeric5 unique values
0 missing
V12809numeric2 unique values
0 missing
V13065numeric1 unique values
0 missing
V13321numeric1 unique values
0 missing
V13577numeric2 unique values
0 missing
V13833numeric2 unique values
0 missing
V14089numeric2 unique values
0 missing
V14345numeric2 unique values
0 missing
V14601numeric1 unique values
0 missing
V14857numeric1 unique values
0 missing
V15113numeric1 unique values
0 missing
V15369numeric2 unique values
0 missing
V15625numeric2 unique values
0 missing
V15881numeric1 unique values
0 missing
V16137numeric1 unique values
0 missing
V16393numeric1 unique values
0 missing
V16649numeric1 unique values
0 missing
V16905numeric1 unique values
0 missing
V17161numeric1 unique values
0 missing
V17417numeric2 unique values
0 missing
V17673numeric2 unique values
0 missing
V17929numeric6 unique values
0 missing
V18185numeric4 unique values
0 missing
V18441numeric1 unique values
0 missing
V18697numeric2 unique values
0 missing
V18953numeric2 unique values
0 missing
V19209numeric51 unique values
0 missing
V19465numeric5 unique values
0 missing
V19721numeric1 unique values
0 missing
V19977numeric1 unique values
0 missing
V10numeric1 unique values
0 missing
V266numeric1 unique values
0 missing
V522numeric1 unique values
0 missing
V778numeric1 unique values
0 missing
V1034numeric1 unique values
0 missing
V1290numeric1 unique values
0 missing
V1546numeric3 unique values
0 missing
V1802numeric1 unique values
0 missing
V2058numeric1 unique values
0 missing
V2314numeric3 unique values
0 missing
V2570numeric3 unique values
0 missing
V2826numeric1 unique values
0 missing
V3082numeric4 unique values
0 missing
V3338numeric4 unique values
0 missing
V3594numeric2 unique values
0 missing
V3850numeric2 unique values
0 missing
V4106numeric1 unique values
0 missing
V4362numeric1 unique values
0 missing
V4618numeric2 unique values
0 missing
V4874numeric1 unique values
0 missing
V5130numeric19 unique values
0 missing
V5386numeric2 unique values
0 missing
V5642numeric1 unique values
0 missing
V5898numeric4 unique values
0 missing
V6154numeric2 unique values
0 missing
V6410numeric1 unique values
0 missing
V6666numeric1 unique values
0 missing
V6922numeric1 unique values
0 missing
V7178numeric1 unique values
0 missing
V7434numeric4 unique values
0 missing
V7690numeric1 unique values
0 missing
V7946numeric16 unique values
0 missing
V8202numeric7 unique values
0 missing
V8458numeric2 unique values
0 missing
V8714numeric1 unique values
0 missing
V8970numeric1 unique values
0 missing
V9226numeric3 unique values
0 missing
V9482numeric1 unique values
0 missing
V9738numeric4 unique values
0 missing
V9994numeric5 unique values
0 missing
V10250numeric1 unique values
0 missing
V10506numeric2 unique values
0 missing
V10762numeric2 unique values
0 missing
V11018numeric5 unique values
0 missing
V11274numeric2 unique values
0 missing
V11530numeric2 unique values
0 missing
V11786numeric1 unique values
0 missing
V12042numeric1 unique values
0 missing
V12298numeric2 unique values
0 missing
V12554numeric4 unique values
0 missing
V12810numeric3 unique values
0 missing
V13066numeric5 unique values
0 missing
V13322numeric2 unique values
0 missing
V13578numeric1 unique values
0 missing
V13834numeric1 unique values
0 missing
V14090numeric1 unique values
0 missing
V14346numeric2 unique values
0 missing
V14602numeric1 unique values
0 missing
V14858numeric2 unique values
0 missing
V15114numeric17 unique values
0 missing
V15370numeric1 unique values
0 missing
V15626numeric13 unique values
0 missing
V15882numeric1 unique values
0 missing
V16138numeric1 unique values
0 missing
V16394numeric1 unique values
0 missing
V16650numeric11 unique values
0 missing
V16906numeric1 unique values
0 missing
V17162numeric1 unique values
0 missing
V17418numeric1 unique values
0 missing
V17674numeric2 unique values
0 missing
V17930numeric2 unique values
0 missing
V18186numeric1 unique values
0 missing
V18442numeric1 unique values
0 missing
V18698numeric2 unique values
0 missing
V18954numeric1 unique values
0 missing
V19210numeric1 unique values
0 missing
V19466numeric1 unique values
0 missing
V19722numeric2 unique values
0 missing
V19978numeric1 unique values
0 missing
V11numeric3 unique values
0 missing
V267numeric44 unique values
0 missing
V523numeric2 unique values
0 missing
V779numeric1 unique values
0 missing
V1035numeric1 unique values
0 missing
V1291numeric1 unique values
0 missing
V1547numeric2 unique values
0 missing
V1803numeric1 unique values
0 missing
V2059numeric1 unique values
0 missing
V2315numeric1 unique values
0 missing
V2571numeric2 unique values
0 missing
V2827numeric5 unique values
0 missing
V3083numeric29 unique values
0 missing
V3339numeric2 unique values
0 missing
V3595numeric2 unique values
0 missing
V3851numeric1 unique values
0 missing
V4107numeric1 unique values
0 missing
V4363numeric1 unique values
0 missing
V4619numeric1 unique values
0 missing
V4875numeric1 unique values
0 missing
V5131numeric9 unique values
0 missing
V5387numeric1 unique values
0 missing
V5643numeric3 unique values
0 missing
V5899numeric10 unique values
0 missing
V6155numeric1 unique values
0 missing
V6411numeric1 unique values
0 missing
V6667numeric5 unique values
0 missing
V6923numeric3 unique values
0 missing
V7179numeric1 unique values
0 missing
V7435numeric1 unique values
0 missing
V7691numeric2 unique values
0 missing
V7947numeric4 unique values
0 missing
V8203numeric2 unique values
0 missing
V8459numeric3 unique values
0 missing
V8715numeric1 unique values
0 missing
V8971numeric3 unique values
0 missing
V9227numeric1 unique values
0 missing
V9483numeric3 unique values
0 missing
V9739numeric4 unique values
0 missing
V9995numeric1 unique values
0 missing
V10251numeric1 unique values
0 missing
V10507numeric8 unique values
0 missing
V10763numeric1 unique values
0 missing
V11019numeric2 unique values
0 missing
V11275numeric1 unique values
0 missing
V11531numeric3 unique values
0 missing
V11787numeric2 unique values
0 missing
V12043numeric2 unique values
0 missing
V12299numeric1 unique values
0 missing
V12555numeric9 unique values
0 missing
V12811numeric1 unique values
0 missing
V13067numeric1 unique values
0 missing
V13323numeric3 unique values
0 missing
V13579numeric1 unique values
0 missing
V13835numeric1 unique values
0 missing
V14091numeric1 unique values
0 missing
V14347numeric1 unique values
0 missing
V14603numeric1 unique values
0 missing
V14859numeric1 unique values
0 missing
V15115numeric4 unique values
0 missing
V15371numeric3 unique values
0 missing
V15627numeric1 unique values
0 missing
V15883numeric2 unique values
0 missing
V16139numeric3 unique values
0 missing
V16395numeric1 unique values
0 missing
V16651numeric1 unique values
0 missing
V16907numeric3 unique values
0 missing
V17163numeric2 unique values
0 missing
V17419numeric3 unique values
0 missing
V17675numeric2 unique values
0 missing
V17931numeric2 unique values
0 missing
V18187numeric2 unique values
0 missing
V18443numeric4 unique values
0 missing
V18699numeric9 unique values
0 missing
V18955numeric2 unique values
0 missing
V19211numeric1 unique values
0 missing
V19467numeric5 unique values
0 missing
V19723numeric2 unique values
0 missing
V19979numeric3 unique values
0 missing
V12numeric1 unique values
0 missing
V268numeric4 unique values
0 missing
V524numeric4 unique values
0 missing
V780numeric3 unique values
0 missing
V1036numeric2 unique values
0 missing
V1292numeric2 unique values
0 missing
V1548numeric24 unique values
0 missing
V1804numeric3 unique values
0 missing
V2060numeric1 unique values
0 missing
V2316numeric5 unique values
0 missing
V2572numeric2 unique values
0 missing
V2828numeric2 unique values
0 missing
V3084numeric1 unique values
0 missing
V3340numeric4 unique values
0 missing
V3596numeric1 unique values
0 missing
V3852numeric2 unique values
0 missing
V4108numeric2 unique values
0 missing
V4364numeric1 unique values
0 missing
V4620numeric1 unique values
0 missing
V4876numeric4 unique values
0 missing
V5132numeric2 unique values
0 missing
V5388numeric1 unique values
0 missing
V5644numeric1 unique values
0 missing
V5900numeric3 unique values
0 missing
V6156numeric1 unique values
0 missing
V6412numeric2 unique values
0 missing
V6668numeric2 unique values
0 missing
V6924numeric2 unique values
0 missing
V7180numeric1 unique values
0 missing
V7436numeric3 unique values
0 missing
V7692numeric1 unique values
0 missing
V7948numeric1 unique values
0 missing
V8204numeric1 unique values
0 missing
V8460numeric2 unique values
0 missing
V8716numeric2 unique values
0 missing
V8972numeric1 unique values
0 missing
V9228numeric1 unique values
0 missing
V9484numeric5 unique values
0 missing
V9740numeric4 unique values
0 missing
V9996numeric2 unique values
0 missing
V10252numeric1 unique values
0 missing
V10508numeric2 unique values
0 missing
V10764numeric2 unique values
0 missing
V11020numeric1 unique values
0 missing
V11276numeric6 unique values
0 missing
V11532numeric2 unique values
0 missing
V11788numeric1 unique values
0 missing
V12044numeric2 unique values
0 missing
V12300numeric1 unique values
0 missing
V12556numeric2 unique values
0 missing
V12812numeric3 unique values
0 missing

62 properties

600
Number of instances (rows) of the dataset.
20001
Number of attributes (columns) of the dataset.
2
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.
20000
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
2.29
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
0.04
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
600
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
600
Third quartile of kurtosis among attributes of the numeric type.
322.69
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
100
Percentage of numeric attributes.
0.34
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
2
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2
The maximum number of distinct values among attributes of the nominal type.
0.45
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
24.49
Third quartile of skewness among attributes of the numeric type.
24.49
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
253.71
First quartile of kurtosis among attributes of the numeric type.
6.17
Third quartile of standard deviation of attributes of the numeric type.
169.75
Maximum standard deviation of attributes of the numeric type.
50
Percentage of instances belonging to the least frequent class.
0
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
300
Number of instances belonging to the least frequent class.
First quartile of mutual information between the nominal attributes and the target attribute.
417.25
Mean kurtosis among attributes of the numeric type.
1
Number of binary attributes.
15.5
First quartile of skewness among attributes of the numeric type.
0.47
Mean of means among attributes of the numeric type.
0
First quartile of standard deviation of attributes of the numeric type.
0.51
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
1
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
481.12
Second quartile (Median) of kurtosis among attributes of the numeric type.
33.34
Number of attributes divided by the number of instances.
2
Average number of distinct values among the attributes of the nominal type.
0.1
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
19.42
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
50
Percentage of instances belonging to the most frequent class.
4.54
Mean standard deviation of attributes of the numeric type.
21.4
Second quartile (Median) of skewness among attributes of the numeric type.
300
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.

10 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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