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NELL

active Sparse_ARFF Publicly available Visibility: public Uploaded 19-11-2015 by Andre Melo
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Nell HMC dataset for type prediction with ingoing/outgoing properties as features

769 features

0	nominal	2 unique values 0 missing
256	nominal	2 unique values 0 missing
512	nominal	2 unique values 0 missing
768	nominal	2 unique values 0 missing
1	nominal	2 unique values 0 missing
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478	nominal	2 unique values 0 missing
734	nominal	2 unique values 0 missing
223	nominal	2 unique values 0 missing
479	nominal	2 unique values 0 missing
735	nominal	2 unique values 0 missing
224	nominal	2 unique values 0 missing
480	nominal	2 unique values 0 missing
736	nominal	2 unique values 0 missing
225	nominal	2 unique values 0 missing
481	nominal	2 unique values 0 missing
737	nominal	2 unique values 0 missing
226	nominal	2 unique values 0 missing
482	nominal	2 unique values 0 missing
738	nominal	2 unique values 0 missing
227	nominal	2 unique values 0 missing
483	nominal	2 unique values 0 missing
739	nominal	2 unique values 0 missing
228	nominal	2 unique values 0 missing
484	nominal	2 unique values 0 missing
740	nominal	2 unique values 0 missing
229	nominal	2 unique values 0 missing
485	nominal	2 unique values 0 missing
741	nominal	2 unique values 0 missing
230	nominal	2 unique values 0 missing
486	nominal	2 unique values 0 missing
742	nominal	2 unique values 0 missing
231	nominal	2 unique values 0 missing
487	nominal	2 unique values 0 missing
743	nominal	2 unique values 0 missing
232	nominal	2 unique values 0 missing
488	nominal	2 unique values 0 missing
744	nominal	2 unique values 0 missing
233	nominal	2 unique values 0 missing
489	nominal	2 unique values 0 missing
745	nominal	2 unique values 0 missing
234	nominal	2 unique values 0 missing
490	nominal	2 unique values 0 missing
746	nominal	2 unique values 0 missing
235	nominal	1 unique values 0 missing
491	nominal	2 unique values 0 missing
747	nominal	2 unique values 0 missing
236	nominal	2 unique values 0 missing
492	nominal	2 unique values 0 missing
748	nominal	2 unique values 0 missing
237	nominal	2 unique values 0 missing
493	nominal	2 unique values 0 missing
749	nominal	2 unique values 0 missing
238	nominal	2 unique values 0 missing
494	nominal	2 unique values 0 missing
750	nominal	2 unique values 0 missing
239	nominal	2 unique values 0 missing
495	nominal	2 unique values 0 missing
751	nominal	2 unique values 0 missing
240	nominal	2 unique values 0 missing
496	nominal	2 unique values 0 missing
752	nominal	2 unique values 0 missing
241	nominal	2 unique values 0 missing
497	nominal	2 unique values 0 missing
753	nominal	2 unique values 0 missing
242	nominal	2 unique values 0 missing
498	nominal	2 unique values 0 missing
754	nominal	2 unique values 0 missing
243	nominal	2 unique values 0 missing
499	nominal	2 unique values 0 missing
755	nominal	2 unique values 0 missing
244	nominal	2 unique values 0 missing
500	nominal	2 unique values 0 missing
756	nominal	2 unique values 0 missing
245	nominal	2 unique values 0 missing
501	nominal	2 unique values 0 missing
757	nominal	2 unique values 0 missing
246	nominal	2 unique values 0 missing
502	nominal	2 unique values 0 missing
758	nominal	2 unique values 0 missing
247	nominal	2 unique values 0 missing
503	nominal	2 unique values 0 missing
759	nominal	2 unique values 0 missing
248	nominal	2 unique values 0 missing
504	nominal	2 unique values 0 missing
760	nominal	2 unique values 0 missing
249	nominal	2 unique values 0 missing
505	nominal	2 unique values 0 missing
761	nominal	2 unique values 0 missing
250	nominal	2 unique values 0 missing
506	nominal	2 unique values 0 missing
762	nominal	2 unique values 0 missing
251	nominal	2 unique values 0 missing
507	nominal	2 unique values 0 missing
763	nominal	2 unique values 0 missing
252	nominal	2 unique values 0 missing
508	nominal	2 unique values 0 missing
764	nominal	2 unique values 0 missing
253	nominal	2 unique values 0 missing
509	nominal	2 unique values 0 missing
765	nominal	2 unique values 0 missing
254	nominal	2 unique values 0 missing
510	nominal	2 unique values 0 missing
766	nominal	2 unique values 0 missing
255	nominal	2 unique values 0 missing
511	nominal	2 unique values 0 missing
767	nominal	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

120720

Number of instances (rows) of the dataset.

NumberOfFeatures

769

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

Number of numeric attributes.

NumberOfSymbolicFeatures

769

Number of nominal attributes.

REPTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

Maximum of means among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

Second quartile (Median) of skewness among attributes of the numeric type.

RandomTreeDepth1AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

0.01

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

100

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

Average class difference between consecutive instances.

RandomTreeDepth2AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxStdDevOfNumericAtts

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

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

RandomTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

100

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

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

RandomTreeDepth2Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanKurtosisOfNumericAtts

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

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

RandomTreeDepth3AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

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

RandomTreeDepth3ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

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

RandomTreeDepth3Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

769

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

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

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

StdvNominalAttDistinctValues

0.12

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

1.99

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NErrRate

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

kNN1NAUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

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

kNN1NErrRate

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

Entropy of the target attribute values.