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rsctc2010_1

rsctc2010_1

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Author: Source: Unknown - Date unknown Please cite: Data from the RSCTC 2010 Discovery Challenge. Example datasets for 6 different problems of DNA microarray data analysis and classification. All datasets contain gene expression data characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes. All attributes are numeric and represent measurements from DNA microarrays. Source: http://tunedit.org/challenge/RSCTC-2010-A

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0 missing
Var22217numeric87 unique values
0 missing
Var22216numeric94 unique values
0 missing
Var22215numeric94 unique values
0 missing
Var22214numeric97 unique values
0 missing
Var22213numeric101 unique values
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0 missing
Var22211numeric80 unique values
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Var22192numeric97 unique values
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Var22189numeric94 unique values
0 missing
Var22188numeric92 unique values
0 missing
Var22187numeric79 unique values
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Var22186numeric93 unique values
0 missing
Var22185numeric93 unique values
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Var22182numeric90 unique values
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Var22179numeric95 unique values
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Var22178numeric91 unique values
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Var22176numeric92 unique values
0 missing
Var22175numeric90 unique values
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Var22173numeric100 unique values
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Var22172numeric90 unique values
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Var22171numeric95 unique values
0 missing
Var22170numeric88 unique values
0 missing
Var22169numeric91 unique values
0 missing
Var22168numeric95 unique values
0 missing
Var22167numeric95 unique values
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0 missing
Var22165numeric94 unique values
0 missing
Var22164numeric96 unique values
0 missing
Var22163numeric103 unique values
0 missing
Var22162numeric77 unique values
0 missing
Var22161numeric85 unique values
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Var22160numeric98 unique values
0 missing
Var22159numeric96 unique values
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0 missing
Var22157numeric96 unique values
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0 missing
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0 missing
Var22152numeric92 unique values
0 missing
Var22151numeric84 unique values
0 missing
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Var22149numeric88 unique values
0 missing
Var22148numeric90 unique values
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Var22147numeric84 unique values
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Var22130numeric96 unique values
0 missing
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0 missing
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0 missing
Var22125numeric94 unique values
0 missing
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Var22123numeric93 unique values
0 missing
Var22122numeric97 unique values
0 missing
Var22121numeric97 unique values
0 missing
Var22120numeric93 unique values
0 missing
Var22119numeric98 unique values
0 missing
Var22118numeric96 unique values
0 missing
Var22117numeric99 unique values
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0 missing
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0 missing
Var22114numeric95 unique values
0 missing
Var22113numeric103 unique values
0 missing
Var22112numeric80 unique values
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0 missing
Var22110numeric91 unique values
0 missing
Var22109numeric94 unique values
0 missing
Var22108numeric89 unique values
0 missing
Var22107numeric95 unique values
0 missing
Var22106numeric88 unique values
0 missing
Var22105numeric87 unique values
0 missing
Var22104numeric89 unique values
0 missing
Var22103numeric93 unique values
0 missing
Var22102numeric93 unique values
0 missing
Var22101numeric96 unique values
0 missing
Var22100numeric95 unique values
0 missing
Var22099numeric95 unique values
0 missing
Var22098numeric85 unique values
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Var22097numeric92 unique values
0 missing
Var22096numeric95 unique values
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Var22095numeric88 unique values
0 missing
Var22094numeric96 unique values
0 missing
Var22093numeric96 unique values
0 missing
Var22092numeric86 unique values
0 missing
Var22091numeric97 unique values
0 missing
Var22090numeric92 unique values
0 missing
Var22089numeric100 unique values
0 missing
Var22088numeric89 unique values
0 missing
Var22087numeric90 unique values
0 missing
Var22086numeric99 unique values
0 missing
Var22085numeric82 unique values
0 missing
Var22084numeric96 unique values
0 missing
Var22083numeric92 unique values
0 missing
Var22082numeric89 unique values
0 missing
Var22081numeric96 unique values
0 missing
Var22080numeric87 unique values
0 missing
Var22079numeric85 unique values
0 missing
Var22078numeric88 unique values
0 missing
Var22077numeric101 unique values
0 missing
Var22076numeric92 unique values
0 missing
Var22075numeric92 unique values
0 missing
Var22074numeric77 unique values
0 missing
Var22073numeric80 unique values
0 missing
Var22072numeric88 unique values
0 missing
Var22071numeric95 unique values
0 missing
Var22070numeric99 unique values
0 missing
Var22069numeric97 unique values
0 missing
Var22068numeric84 unique values
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Var22067numeric95 unique values
0 missing
Var22066numeric87 unique values
0 missing
Var22065numeric91 unique values
0 missing
Var22064numeric96 unique values
0 missing
Var22063numeric99 unique values
0 missing
Var22062numeric95 unique values
0 missing
Var22061numeric89 unique values
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Var22060numeric97 unique values
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Var22059numeric97 unique values
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Var22058numeric92 unique values
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Var22057numeric95 unique values
0 missing
Var22056numeric97 unique values
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Var22055numeric93 unique values
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Var22054numeric99 unique values
0 missing
Var22053numeric85 unique values
0 missing
Var22052numeric100 unique values
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Var22051numeric91 unique values
0 missing
Var22050numeric92 unique values
0 missing
Var22049numeric87 unique values
0 missing
Var22048numeric77 unique values
0 missing
Var22047numeric88 unique values
0 missing
Var22046numeric91 unique values
0 missing
Var22045numeric86 unique values
0 missing
Var22044numeric91 unique values
0 missing
Var22043numeric99 unique values
0 missing
Var22042numeric89 unique values
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Var22041numeric97 unique values
0 missing
Var22040numeric95 unique values
0 missing
Var22039numeric98 unique values
0 missing
Var22038numeric93 unique values
0 missing
Var22037numeric93 unique values
0 missing
Var22036numeric82 unique values
0 missing
Var22035numeric96 unique values
0 missing
Var22034numeric82 unique values
0 missing
Var22033numeric96 unique values
0 missing
Var22032numeric102 unique values
0 missing
Var22031numeric90 unique values
0 missing
Var22030numeric99 unique values
0 missing
Var22029numeric85 unique values
0 missing
Var22028numeric89 unique values
0 missing
Var22027numeric91 unique values
0 missing
Var22026numeric99 unique values
0 missing
Var22025numeric90 unique values
0 missing
Var22024numeric90 unique values
0 missing
Var22023numeric86 unique values
0 missing
Var22022numeric92 unique values
0 missing
Var22021numeric89 unique values
0 missing
Var22020numeric100 unique values
0 missing
Var22019numeric93 unique values
0 missing
Var22018numeric88 unique values
0 missing
Var22017numeric83 unique values
0 missing
Var22016numeric90 unique values
0 missing
Var22015numeric79 unique values
0 missing
Var22014numeric96 unique values
0 missing
Var22013numeric97 unique values
0 missing
Var22012numeric92 unique values
0 missing
Var22011numeric90 unique values
0 missing
Var21874numeric81 unique values
0 missing
Var21738numeric98 unique values
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Var21739numeric96 unique values
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Var21740numeric95 unique values
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Var21741numeric90 unique values
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Var21742numeric92 unique values
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Var21743numeric90 unique values
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Var21744numeric96 unique values
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Var21745numeric103 unique values
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Var21746numeric90 unique values
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Var21747numeric91 unique values
0 missing
Var21748numeric86 unique values
0 missing
Var21749numeric100 unique values
0 missing
Var21750numeric102 unique values
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Var21751numeric92 unique values
0 missing
Var21752numeric91 unique values
0 missing
Var21753numeric89 unique values
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Var21754numeric95 unique values
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Var21755numeric90 unique values
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Var21759numeric90 unique values
0 missing
Var21760numeric83 unique values
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Var21762numeric90 unique values
0 missing
Var21763numeric89 unique values
0 missing
Var21764numeric93 unique values
0 missing
Var21765numeric92 unique values
0 missing
Var21766numeric82 unique values
0 missing
Var21767numeric89 unique values
0 missing
Var21768numeric98 unique values
0 missing
Var21769numeric89 unique values
0 missing
Var21770numeric97 unique values
0 missing
Var21771numeric95 unique values
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Var21772numeric99 unique values
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Var21773numeric96 unique values
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Var21774numeric92 unique values
0 missing
Var21775numeric91 unique values
0 missing
Var21776numeric94 unique values
0 missing
Var21777numeric101 unique values
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Var21778numeric89 unique values
0 missing
Var21779numeric94 unique values
0 missing
Var21780numeric95 unique values
0 missing
Var21781numeric98 unique values
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Var21782numeric101 unique values
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Var21783numeric99 unique values
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Var21784numeric97 unique values
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Var21785numeric98 unique values
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Var21786numeric96 unique values
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Var21787numeric92 unique values
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Var21788numeric89 unique values
0 missing
Var21789numeric92 unique values
0 missing
Var21790numeric88 unique values
0 missing
Var21791numeric95 unique values
0 missing
Var21792numeric81 unique values
0 missing
Var21793numeric80 unique values
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Var21794numeric96 unique values
0 missing
Var21795numeric99 unique values
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Var21796numeric89 unique values
0 missing
Var21797numeric94 unique values
0 missing
Var21798numeric86 unique values
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Var21799numeric96 unique values
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Var21800numeric91 unique values
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Var21801numeric93 unique values
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Var21802numeric87 unique values
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Var21803numeric94 unique values
0 missing
Var21804numeric86 unique values
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Var21805numeric101 unique values
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Var21806numeric92 unique values
0 missing
Var21807numeric92 unique values
0 missing
Var21808numeric94 unique values
0 missing
Var21809numeric92 unique values
0 missing
Var21810numeric97 unique values
0 missing
Var21811numeric96 unique values
0 missing
Var21812numeric97 unique values
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Var21813numeric95 unique values
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Var21814numeric92 unique values
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Var21815numeric98 unique values
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Var21816numeric100 unique values
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Var21817numeric95 unique values
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Var21818numeric92 unique values
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Var21819numeric86 unique values
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Var21820numeric91 unique values
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Var21821numeric93 unique values
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Var21822numeric94 unique values
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Var21823numeric93 unique values
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Var21824numeric99 unique values
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Var21825numeric100 unique values
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Var21826numeric95 unique values
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Var21827numeric93 unique values
0 missing
Var21828numeric91 unique values
0 missing
Var21829numeric94 unique values
0 missing
Var21830numeric100 unique values
0 missing
Var21831numeric100 unique values
0 missing
Var21832numeric100 unique values
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Var21833numeric94 unique values
0 missing
Var21834numeric102 unique values
0 missing
Var21835numeric100 unique values
0 missing
Var21836numeric98 unique values
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Var21837numeric91 unique values
0 missing
Var21838numeric91 unique values
0 missing
Var21839numeric99 unique values
0 missing
Var21840numeric100 unique values
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Var21841numeric96 unique values
0 missing
Var21842numeric100 unique values
0 missing
Var21843numeric86 unique values
0 missing
Var21844numeric82 unique values
0 missing
Var21845numeric89 unique values
0 missing
Var21846numeric89 unique values
0 missing
Var21847numeric100 unique values
0 missing
Var21848numeric92 unique values
0 missing
Var21849numeric86 unique values
0 missing
Var21850numeric97 unique values
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Var21851numeric95 unique values
0 missing
Var21852numeric93 unique values
0 missing
Var21853numeric97 unique values
0 missing
Var21854numeric85 unique values
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Var21855numeric95 unique values
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Var21856numeric89 unique values
0 missing
Var21857numeric92 unique values
0 missing
Var21858numeric98 unique values
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Var21859numeric94 unique values
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Var21860numeric91 unique values
0 missing
Var21861numeric91 unique values
0 missing
Var21862numeric99 unique values
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Var21863numeric94 unique values
0 missing
Var21864numeric84 unique values
0 missing
Var21865numeric94 unique values
0 missing
Var21866numeric87 unique values
0 missing
Var21867numeric95 unique values
0 missing
Var21868numeric95 unique values
0 missing
Var21869numeric104 unique values
0 missing
Var21870numeric29 unique values
0 missing
Var21871numeric101 unique values
0 missing
Var21872numeric92 unique values
0 missing
Var21873numeric90 unique values
0 missing
Var21976numeric91 unique values
0 missing
Var21943numeric90 unique values
0 missing
Var21944numeric86 unique values
0 missing
Var21945numeric94 unique values
0 missing
Var21946numeric94 unique values
0 missing
Var21947numeric87 unique values
0 missing
Var21948numeric92 unique values
0 missing
Var21949numeric98 unique values
0 missing
Var21950numeric98 unique values
0 missing
Var21951numeric97 unique values
0 missing
Var21952numeric88 unique values
0 missing
Var21953numeric84 unique values
0 missing
Var21954numeric96 unique values
0 missing
Var21955numeric98 unique values
0 missing
Var21956numeric93 unique values
0 missing
Var21957numeric86 unique values
0 missing
Var21958numeric97 unique values
0 missing
Var21959numeric89 unique values
0 missing
Var21960numeric102 unique values
0 missing
Var21961numeric93 unique values
0 missing
Var21962numeric98 unique values
0 missing
Var21963numeric93 unique values
0 missing
Var21964numeric92 unique values
0 missing
Var21965numeric104 unique values
0 missing
Var21966numeric91 unique values
0 missing
Var21967numeric102 unique values
0 missing
Var21968numeric93 unique values
0 missing
Var21969numeric89 unique values
0 missing
Var21970numeric101 unique values
0 missing
Var21971numeric83 unique values
0 missing
Var21972numeric98 unique values
0 missing
Var21973numeric96 unique values
0 missing
Var21974numeric97 unique values
0 missing
Var21975numeric93 unique values
0 missing
Var21997numeric100 unique values
0 missing
Var22001numeric96 unique values
0 missing
Var22000numeric99 unique values
0 missing
Var21999numeric87 unique values
0 missing
Var21998numeric93 unique values
0 missing
Var21995numeric93 unique values
0 missing
Var21994numeric91 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
105
Number of instances (rows) of the dataset.
NumberOfFeatures
22284
Number of attributes (columns) of the dataset.
NumberOfClasses
3
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
22283
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
AutoCorrelation
0.43
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.55
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
0.5
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
0.1
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
0.55
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
0.5
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
0.1
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
0.55
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
0.5
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
0.1
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
1.26
Entropy of the target attribute values.
DecisionStumpAUC
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.45
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.13
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
212.23
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
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.58
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.46
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
55.24
Percentage of instances belonging to the most frequent class.
MajorityClassSize
58
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
93.37
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
7.95
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
3
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
9.4
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1.07
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
2.09
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
3.67
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
3
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.39
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.16
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.16
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
1.86
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
3
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-8.18
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.04
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
6.67
Percentage of instances belonging to the least frequent class.
MinorityClassSize
7
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.59
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.44
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.18
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NumberOfBinaryFeatures
0
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
0.29
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
2.93
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
-0.09
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.11
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.97
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
3.62
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
0.33
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.14
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
2.25
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
4.26
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
0.77
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.19
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.48
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.5
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
-0.03
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
-0.1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
-0.1
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.45
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.6
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
-0.1
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
0.57
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.43
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.24
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

14 tasks

Supervised Classification on rsctc2010_1
9 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
Supervised Classification on rsctc2010_1
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Decision
Supervised Data Stream Classification on rsctc2010_1
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: Decision
Clustering on rsctc2010_1
0 runs
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
Clustering on rsctc2010_1
0 runs - estimation_procedure: 50 times Clustering
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