Data
BNG(libras_move)

BNG(libras_move)

active ARFF public domain Visibility: public Uploaded 12-11-2014 by Jan van Rijn
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91 features

class (target)numeric964830 unique values
0 missing
xcoord1numeric532346 unique values
0 missing
ycoord1numeric507321 unique values
0 missing
xcoord2numeric529880 unique values
0 missing
ycoord2numeric507151 unique values
0 missing
xcoord3numeric528019 unique values
0 missing
ycoord3numeric505540 unique values
0 missing
xcoord4numeric526111 unique values
0 missing
ycoord4numeric505431 unique values
0 missing
xcoord5numeric527207 unique values
0 missing
ycoord5numeric506630 unique values
0 missing
xcoord6numeric519081 unique values
0 missing
ycoord6numeric505200 unique values
0 missing
xcoord7numeric510204 unique values
0 missing
ycoord7numeric501424 unique values
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xcoord8numeric507732 unique values
0 missing
ycoord8numeric497898 unique values
0 missing
xcoord9numeric509921 unique values
0 missing
ycoord9numeric491727 unique values
0 missing
xcoord10numeric510747 unique values
0 missing
ycoord10numeric486502 unique values
0 missing
xcoord11numeric516560 unique values
0 missing
ycoord11numeric485590 unique values
0 missing
xcoord12numeric519502 unique values
0 missing
ycoord12numeric480816 unique values
0 missing
xcoord13numeric525132 unique values
0 missing
ycoord13numeric489744 unique values
0 missing
xcoord14numeric526706 unique values
0 missing
ycoord14numeric483606 unique values
0 missing
xcoord15numeric516609 unique values
0 missing
ycoord15numeric478454 unique values
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xcoord16numeric508741 unique values
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ycoord16numeric467349 unique values
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xcoord17numeric493349 unique values
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ycoord17numeric454579 unique values
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xcoord18numeric480909 unique values
0 missing
ycoord18numeric448719 unique values
0 missing
xcoord19numeric465831 unique values
0 missing
ycoord19numeric451166 unique values
0 missing
xcoord20numeric463858 unique values
0 missing
ycoord20numeric447823 unique values
0 missing
xcoord21numeric465269 unique values
0 missing
ycoord21numeric442177 unique values
0 missing
xcoord22numeric482377 unique values
0 missing
ycoord22numeric437701 unique values
0 missing
xcoord23numeric494039 unique values
0 missing
ycoord23numeric434338 unique values
0 missing
xcoord24numeric496515 unique values
0 missing
ycoord24numeric440946 unique values
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xcoord25numeric505743 unique values
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ycoord25numeric440103 unique values
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xcoord26numeric507681 unique values
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ycoord26numeric442861 unique values
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xcoord27numeric502598 unique values
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ycoord27numeric438165 unique values
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xcoord28numeric502910 unique values
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ycoord28numeric438495 unique values
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xcoord29numeric503425 unique values
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ycoord29numeric438747 unique values
0 missing
xcoord30numeric499688 unique values
0 missing
ycoord30numeric441573 unique values
0 missing
xcoord31numeric494940 unique values
0 missing
ycoord31numeric449167 unique values
0 missing
xcoord32numeric502365 unique values
0 missing
ycoord32numeric451576 unique values
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xcoord33numeric511917 unique values
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ycoord33numeric449351 unique values
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xcoord34numeric522506 unique values
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ycoord34numeric454413 unique values
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xcoord35numeric534061 unique values
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ycoord35numeric471618 unique values
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xcoord36numeric540289 unique values
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ycoord36numeric482444 unique values
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xcoord37numeric545262 unique values
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ycoord37numeric495151 unique values
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xcoord38numeric546992 unique values
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ycoord39numeric499088 unique values
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xcoord40numeric542538 unique values
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ycoord40numeric494700 unique values
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xcoord41numeric546466 unique values
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ycoord41numeric494673 unique values
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xcoord42numeric551517 unique values
0 missing
ycoord42numeric494575 unique values
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xcoord43numeric558355 unique values
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ycoord43numeric496994 unique values
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xcoord44numeric560749 unique values
0 missing
ycoord44numeric510779 unique values
0 missing
xcoord45numeric567225 unique values
0 missing
ycoord45numeric520392 unique values
0 missing

107 properties

1000000
Number of instances (rows) of the dataset.
91
Number of attributes (columns) of the dataset.
0
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.
91
Number of numeric attributes.
0
Number of nominal attributes.
Second quartile (Median) of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
Percentage of instances belonging to the most frequent class.
0.22
Mean standard deviation of attributes of the numeric type.
-0.68
Second quartile (Median) of kurtosis among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
Entropy of the target attribute values.
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.51
Second quartile (Median) of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
Maximum entropy among attributes.
-1.21
Minimum kurtosis among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
-0.24
Maximum kurtosis among attributes of the numeric type.
0.46
Minimum of means among attributes of the numeric type.
-0.26
Second quartile (Median) of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
8.01
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0.17
Second quartile (Median) of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
0
Number of attributes divided by the number of instances.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
The maximum number of distinct values among attributes of the nominal type.
-0.52
Minimum skewness among attributes of the numeric type.
0
Percentage of missing values.
-0.52
Third quartile of kurtosis among attributes of the numeric type.
-3.98
Average class difference between consecutive instances.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
0.2
Maximum skewness among attributes of the numeric type.
0.14
Minimum standard deviation of attributes of the numeric type.
100
Percentage of numeric attributes.
0.53
Third quartile of means among attributes of the numeric type.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
4.32
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
First quartile of entropy among attributes.
-0.07
Third quartile of skewness among attributes of the numeric type.
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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
-0.69
Mean kurtosis among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
-0.87
First quartile of kurtosis among attributes of the numeric type.
0.19
Third quartile of standard deviation of attributes of the numeric type.
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
0.6
Mean of means among attributes of the numeric type.
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
0.5
First quartile of means among attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
Average mutual information between the nominal attributes and the target attribute.
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
First quartile of mutual information between the nominal attributes and the target attribute.
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 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
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0
Number of binary attributes.
-0.32
First quartile of skewness among attributes of the numeric type.
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
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
Standard deviation of the number of distinct values among attributes of the nominal type.
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
Average number of distinct values among the attributes of the nominal type.
0.16
First quartile of standard deviation of attributes of the numeric type.
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
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
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
-0.2
Mean skewness among attributes of the numeric type.

5 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task