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cnae-9

cnae-9

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  • OpenML-CC18 OpenML100 study_123 study_135 study_14 study_218 study_52 study_7 study_98 study_99 study_225 study_271 study_240 study_253 study_285 study_379 study_275
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Author: Patrick Marques Ciarelli, Elias Oliviera Source: [UCI](https://archive.ics.uci.edu/ml/datasets/CNAE-9) - 2010 Please cite: ### Description This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories. ### Source ``` Patrick Marques Ciarelli, pciarelli '@' lcad.inf.ufes.br, Department of Electrical Engineering, Federal University of Espirito Santo Elias Oliveira, elias '@' lcad.inf.ufes.br, Department of Information Science, Federal University of Espirito Santo ``` ### Data Set Information This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories cataloged in a table called National Classification of Economic Activities (Classificação Nacional de Atividade Econômicas - CNAE). The original texts were preprocessed to obtain the current data set: initially, it was kept only letters and then it was removed prepositions of the texts. Next, the words were transformed to their canonical form. Finally, each document was represented as a vector, where the weight of each word is its frequency in the document. This data set is highly sparse (99.22% of the matrix is filled with zeros). ### Attribute Information In the dataset there are 857 attributes, 1 attributes with the class of instance and 856 with word frequency: ``` 1. category: range 1 - 9 (integer) 2. 857. word frequency: (integer) ``` ### Relevant Papers Patrick Marques Ciarelli, Elias Oliveira, 'Agglomeration and Elimination of Terms for Dimensionality Reduction', Ninth International Conference on Intelligent Systems Design and Applications, pp.547-552, 2009 Patrick Marques Ciarelli, Elias Oliveira, Evandro O. T. Salles, 'An Evolving System Based on Probabilistic Neural Network', Brazilian Symposium on Artificial Neural Network, 2010

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0 missing
V632numeric2 unique values
0 missing
V633numeric2 unique values
0 missing
V634numeric2 unique values
0 missing
V635numeric2 unique values
0 missing
V636numeric2 unique values
0 missing
V637numeric2 unique values
0 missing
V638numeric2 unique values
0 missing
V639numeric2 unique values
0 missing
V640numeric2 unique values
0 missing
V641numeric2 unique values
0 missing
V642numeric2 unique values
0 missing
V643numeric2 unique values
0 missing
V644numeric2 unique values
0 missing
V645numeric2 unique values
0 missing
V646numeric2 unique values
0 missing
V647numeric2 unique values
0 missing
V648numeric3 unique values
0 missing
V649numeric2 unique values
0 missing
V650numeric3 unique values
0 missing
V651numeric2 unique values
0 missing
V652numeric2 unique values
0 missing
V653numeric2 unique values
0 missing
V654numeric2 unique values
0 missing
V655numeric2 unique values
0 missing
V656numeric2 unique values
0 missing
V657numeric2 unique values
0 missing
V658numeric2 unique values
0 missing
V659numeric2 unique values
0 missing
V660numeric2 unique values
0 missing
V661numeric2 unique values
0 missing
V662numeric2 unique values
0 missing
V663numeric2 unique values
0 missing
V664numeric2 unique values
0 missing
V665numeric2 unique values
0 missing
V666numeric2 unique values
0 missing
V667numeric2 unique values
0 missing
V668numeric2 unique values
0 missing
V669numeric4 unique values
0 missing
V670numeric2 unique values
0 missing
V671numeric3 unique values
0 missing
V672numeric2 unique values
0 missing
V673numeric3 unique values
0 missing
V674numeric2 unique values
0 missing
V675numeric2 unique values
0 missing
V676numeric2 unique values
0 missing
V677numeric2 unique values
0 missing
V678numeric2 unique values
0 missing
V679numeric2 unique values
0 missing
V680numeric2 unique values
0 missing
V681numeric2 unique values
0 missing
V682numeric2 unique values
0 missing
V683numeric2 unique values
0 missing
V684numeric3 unique values
0 missing
V685numeric2 unique values
0 missing
V686numeric2 unique values
0 missing
V687numeric2 unique values
0 missing
V688numeric3 unique values
0 missing
V689numeric2 unique values
0 missing
V690numeric2 unique values
0 missing
V691numeric2 unique values
0 missing
V692numeric2 unique values
0 missing
V693numeric2 unique values
0 missing
V694numeric2 unique values
0 missing
V695numeric2 unique values
0 missing
V696numeric2 unique values
0 missing
V697numeric2 unique values
0 missing
V698numeric2 unique values
0 missing
V699numeric2 unique values
0 missing
V700numeric2 unique values
0 missing
V701numeric3 unique values
0 missing
V702numeric2 unique values
0 missing
V703numeric2 unique values
0 missing
V704numeric2 unique values
0 missing
V705numeric4 unique values
0 missing
V706numeric2 unique values
0 missing
V707numeric2 unique values
0 missing
V708numeric2 unique values
0 missing
V709numeric2 unique values
0 missing
V710numeric2 unique values
0 missing
V711numeric2 unique values
0 missing
V712numeric2 unique values
0 missing
V713numeric2 unique values
0 missing
V714numeric2 unique values
0 missing
V715numeric3 unique values
0 missing
V716numeric2 unique values
0 missing
V717numeric2 unique values
0 missing
V718numeric2 unique values
0 missing
V719numeric2 unique values
0 missing
V720numeric2 unique values
0 missing
V721numeric2 unique values
0 missing
V722numeric2 unique values
0 missing
V723numeric2 unique values
0 missing
V724numeric3 unique values
0 missing
V725numeric2 unique values
0 missing
V726numeric3 unique values
0 missing
V727numeric2 unique values
0 missing
V728numeric2 unique values
0 missing
V729numeric2 unique values
0 missing
V730numeric2 unique values
0 missing
V731numeric3 unique values
0 missing
V732numeric2 unique values
0 missing
V733numeric2 unique values
0 missing
V734numeric2 unique values
0 missing
V735numeric2 unique values
0 missing
V736numeric2 unique values
0 missing
V737numeric2 unique values
0 missing
V738numeric2 unique values
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V739numeric2 unique values
0 missing
V740numeric2 unique values
0 missing
V741numeric2 unique values
0 missing
V742numeric2 unique values
0 missing
V743numeric2 unique values
0 missing
V744numeric2 unique values
0 missing
V745numeric2 unique values
0 missing
V746numeric2 unique values
0 missing
V747numeric2 unique values
0 missing
V748numeric2 unique values
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V749numeric2 unique values
0 missing
V750numeric2 unique values
0 missing
V751numeric3 unique values
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V752numeric2 unique values
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V753numeric2 unique values
0 missing
V754numeric2 unique values
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V756numeric2 unique values
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V780numeric2 unique values
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V781numeric2 unique values
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V789numeric2 unique values
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V790numeric3 unique values
0 missing
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V795numeric2 unique values
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V811numeric2 unique values
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0 missing
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V815numeric3 unique values
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0 missing
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V820numeric2 unique values
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V821numeric2 unique values
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0 missing
V823numeric3 unique values
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V824numeric3 unique values
0 missing
V825numeric2 unique values
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V827numeric2 unique values
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V828numeric2 unique values
0 missing
V829numeric2 unique values
0 missing
V830numeric2 unique values
0 missing
V831numeric2 unique values
0 missing
V832numeric4 unique values
0 missing
V833numeric2 unique values
0 missing
V834numeric2 unique values
0 missing
V835numeric2 unique values
0 missing
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0 missing
V837numeric2 unique values
0 missing
V838numeric2 unique values
0 missing
V839numeric2 unique values
0 missing
V840numeric2 unique values
0 missing
V841numeric2 unique values
0 missing
V842numeric2 unique values
0 missing
V843numeric2 unique values
0 missing
V844numeric2 unique values
0 missing
V845numeric2 unique values
0 missing
V846numeric2 unique values
0 missing
V847numeric2 unique values
0 missing
V848numeric2 unique values
0 missing
V849numeric2 unique values
0 missing
V850numeric2 unique values
0 missing
V851numeric2 unique values
0 missing
V852numeric2 unique values
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0 missing
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0 missing
Show first 100 features

107 properties

NumberOfInstances
1080
Number of instances (rows) of the dataset.
NumberOfFeatures
857
Number of attributes (columns) of the dataset.
NumberOfClasses
9
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
856
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
AutoCorrelation
0
Average class difference between consecutive instances.
CfsSubsetEval_DecisionStumpAUC
0.96
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
0.19
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
0.78
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
0.96
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
0.19
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
0.78
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
0.96
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
0.19
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
0.78
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
3.17
Entropy of the target attribute values.
DecisionStumpAUC
0.65
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpErrRate
0.81
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
DecisionStumpKappa
0.09
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
Dimensionality
0.79
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
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.ErrRate
0.14
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.00001.Kappa
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
J48.0001.AUC
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.ErrRate
0.14
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.0001.Kappa
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
J48.001.AUC
0.96
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.ErrRate
0.14
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
J48.001.Kappa
0.85
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MajorityClassPercentage
11.11
Percentage of instances belonging to the most frequent class.
MajorityClassSize
120
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
1080
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.44
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
9
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
32.86
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.62
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
636.46
Mean kurtosis among attributes of the numeric type.
MeanMeansOfNumericAtts
0.01
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
9
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
23.16
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.07
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.26
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
9
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
0.63
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.03
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
11.11
Percentage of instances belonging to the least frequent class.
MinorityClassSize
120
Number of instances belonging to the least frequent class.
NaiveBayesAUC
0.99
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesErrRate
0.08
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
NaiveBayesKappa
0.91
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
99.88
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0.12
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
211.99
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
14.61
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.03
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
537.49
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0
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
23.21
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.04
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
1080
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0
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
32.86
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.07
Third quartile of standard deviation of attributes of the numeric type.
REPTreeDepth1AUC
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth1Kappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
REPTreeDepth2AUC
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth2Kappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
REPTreeDepth3AUC
0.95
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3ErrRate
0.23
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
REPTreeDepth3Kappa
0.74
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
RandomTreeDepth1AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1ErrRate
0.22
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth1Kappa
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
RandomTreeDepth2AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2ErrRate
0.22
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth2Kappa
0.75
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
RandomTreeDepth3AUC
0.88
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3ErrRate
0.22
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
RandomTreeDepth3Kappa
0.75
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
0.91
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NErrRate
0.19
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
kNN1NKappa
0.79
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Show all 107 properties

58 tasks

Supervised Classification on cnae-9
22833 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Supervised Classification on cnae-9
31 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Supervised Classification on cnae-9
5 runs - estimation_procedure: 33% Holdout set - target_feature: Class
Supervised Classification on cnae-9
1 runs - estimation_procedure: 5 times 2-fold Crossvalidation - target_feature: Class
Supervised Classification on cnae-9
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on cnae-9
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: Class
Supervised Classification on cnae-9
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: Class
Supervised Classification on cnae-9
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Class
Supervised Classification on cnae-9
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: Class
Learning Curve on cnae-9
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature:
Clustering on cnae-9
0 runs - target_feature: Class
Clustering on cnae-9
0 runs
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Clustering on cnae-9
0 runs - estimation_procedure: 50 times Clustering
Subgroup Discovery on cnae-9
1303 runs - target_feature: Class
Subgroup Discovery on cnae-9
1303 runs - target_feature: Class
Subgroup Discovery on cnae-9
1302 runs - target_feature: Class
Subgroup Discovery on cnae-9
1301 runs - target_feature: Class
Subgroup Discovery on cnae-9
1301 runs - target_feature: Class
Subgroup Discovery on cnae-9
1300 runs - target_feature: Class
Subgroup Discovery on cnae-9
1300 runs - target_feature: Class
Subgroup Discovery on cnae-9
1300 runs - target_feature: Class
Subgroup Discovery on cnae-9
1299 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Subgroup Discovery on cnae-9
0 runs - target_feature: Class
Define a new task