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yeast_ml8

yeast_ml8

active ARFF Publicly available Visibility: public Uploaded 25-08-2014 by Tobias Kuehn
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  • Life Science Machine Learning mythbusting_1 study_1 study_144 study_15 study_20 study_52 study_7
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Author: Source: Unknown - Please cite: Yeast dataset Past Usage: André Elisseeff and Jason Weston. A kernel method for multi-labelled classification. In Thomas G. Dietterich, Susan Becker, and Zoubin Ghahramani, editors, Advances in Neural Information Processing Systems 14, 2002.

117 features

class14 (target)nominal2 unique values
0 missing
attr1numeric2412 unique values
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attr2numeric2406 unique values
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attr3numeric2413 unique values
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attr4numeric2407 unique values
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attr5numeric2408 unique values
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attr6numeric2407 unique values
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attr7numeric2409 unique values
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attr8numeric2405 unique values
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attr9numeric2406 unique values
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attr10numeric2415 unique values
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attr11numeric2414 unique values
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attr12numeric2406 unique values
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attr13numeric2407 unique values
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attr14numeric2406 unique values
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attr15numeric2403 unique values
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attr16numeric2409 unique values
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attr17numeric2410 unique values
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attr18numeric2409 unique values
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attr19numeric2410 unique values
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attr20numeric2409 unique values
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attr21numeric2406 unique values
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attr22numeric2409 unique values
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attr23numeric2410 unique values
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attr24numeric2406 unique values
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attr25numeric2403 unique values
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attr26numeric2411 unique values
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attr27numeric2411 unique values
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attr28numeric2410 unique values
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attr29numeric2413 unique values
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attr30numeric2408 unique values
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attr31numeric2406 unique values
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attr32numeric2412 unique values
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attr33numeric2407 unique values
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attr34numeric2407 unique values
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attr35numeric2408 unique values
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attr36numeric2410 unique values
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attr37numeric2412 unique values
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attr38numeric2404 unique values
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attr39numeric2411 unique values
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attr40numeric2407 unique values
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attr41numeric2404 unique values
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attr42numeric2404 unique values
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attr43numeric2407 unique values
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attr44numeric2404 unique values
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attr45numeric2409 unique values
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attr46numeric2414 unique values
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attr47numeric2407 unique values
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attr48numeric2406 unique values
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attr49numeric2407 unique values
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attr50numeric2411 unique values
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attr51numeric2409 unique values
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attr52numeric2408 unique values
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attr53numeric2408 unique values
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attr54numeric2409 unique values
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attr55numeric2407 unique values
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attr56numeric2406 unique values
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attr57numeric2413 unique values
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attr58numeric2411 unique values
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attr59numeric2414 unique values
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attr60numeric2405 unique values
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attr61numeric2410 unique values
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attr62numeric2405 unique values
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attr63numeric2407 unique values
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attr64numeric2401 unique values
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attr65numeric2410 unique values
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attr66numeric2411 unique values
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attr67numeric2407 unique values
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attr68numeric2405 unique values
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attr69numeric2409 unique values
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attr70numeric2412 unique values
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attr71numeric2409 unique values
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attr72numeric2408 unique values
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attr73numeric2409 unique values
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attr74numeric2412 unique values
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attr75numeric2410 unique values
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attr76numeric2407 unique values
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attr77numeric2410 unique values
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attr78numeric2408 unique values
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attr79numeric2409 unique values
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attr80numeric2407 unique values
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attr81numeric2404 unique values
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attr82numeric2408 unique values
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attr83numeric2405 unique values
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attr84numeric2400 unique values
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attr85numeric2401 unique values
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attr86numeric2393 unique values
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attr87numeric2401 unique values
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attr88numeric2401 unique values
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attr89numeric2403 unique values
0 missing
attr90numeric2408 unique values
0 missing
attr91numeric2406 unique values
0 missing
attr92numeric2403 unique values
0 missing
attr93numeric2403 unique values
0 missing
attr94numeric2410 unique values
0 missing
attr95numeric2403 unique values
0 missing
attr96numeric2401 unique values
0 missing
attr97numeric2404 unique values
0 missing
attr98numeric2404 unique values
0 missing
attr99numeric2400 unique values
0 missing
attr100numeric2401 unique values
0 missing
attr101numeric2405 unique values
0 missing
attr102numeric2408 unique values
0 missing
attr103numeric2405 unique values
0 missing
class1nominal2 unique values
0 missing
class2nominal2 unique values
0 missing
class3nominal2 unique values
0 missing
class4nominal2 unique values
0 missing
class5nominal2 unique values
0 missing
class6nominal2 unique values
0 missing
class7nominal2 unique values
0 missing
class8nominal2 unique values
0 missing
class9nominal2 unique values
0 missing
class10nominal2 unique values
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class11nominal2 unique values
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class12nominal2 unique values
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class13nominal2 unique values
0 missing
Show first 100 features

107 properties

NumberOfInstances
2417
Number of instances (rows) of the dataset.
NumberOfFeatures
117
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
103
Number of numeric attributes.
NumberOfSymbolicFeatures
14
Number of nominal attributes.
Quartile2SkewnessOfNumericAtts
0.16
Second quartile (Median) of skewness among attributes of the numeric type.
REPTreeDepth3Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpKappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxMeansOfNumericAtts
0.01
Maximum of means among attributes of the numeric type.
MinMutualInformation
0
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
11.97
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.1
Second quartile (Median) of standard deviation of attributes of the numeric type.
RandomTreeDepth1AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
Dimensionality
0.05
Number of attributes divided by the number of instances.
MaxMutualInformation
0.02
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
2
The minimal number of distinct values among attributes of the nominal type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
0.92
Third quartile of entropy among attributes.
RandomTreeDepth1ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
EquivalentNumberOfAtts
21.83
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MaxNominalAttDistinctValues
2
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.87
Minimum skewness among attributes of the numeric type.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
2.05
Third quartile of kurtosis among attributes of the numeric type.
AutoCorrelation
0.97
Average class difference between consecutive instances.
RandomTreeDepth1Kappa
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1
J48.00001.AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MaxSkewnessOfNumericAtts
1.85
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.09
Minimum standard deviation of attributes of the numeric type.
PercentageOfNumericFeatures
88.03
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0
Third quartile of means among attributes of the numeric type.
CfsSubsetEval_DecisionStumpAUC
0.5
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
RandomTreeDepth2AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.00001.ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MaxStdDevOfNumericAtts
0.11
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
1.41
Percentage of instances belonging to the least frequent class.
PercentageOfSymbolicFeatures
11.97
Percentage of nominal attributes.
Quartile3MutualInformation
0.01
Third quartile of mutual information between the nominal attributes and the target attribute.
CfsSubsetEval_DecisionStumpErrRate
0.01
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
RandomTreeDepth2ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.00001.Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001
MeanAttributeEntropy
0.76
Average entropy of the attributes.
MinorityClassSize
34
Number of instances belonging to the least frequent class.
Quartile1AttributeEntropy
0.6
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.62
Third quartile of skewness among attributes of the numeric type.
CfsSubsetEval_DecisionStumpKappa
0
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
RandomTreeDepth2Kappa
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2
J48.0001.AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001
MeanKurtosisOfNumericAtts
1.4
Mean kurtosis among attributes of the numeric type.
NaiveBayesAUC
0.76
Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1KurtosisOfNumericAtts
0.31
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.1
Third quartile of standard deviation of attributes of the numeric type.
CfsSubsetEval_NaiveBayesAUC
0.5
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
RandomTreeDepth3AUC
0.51
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.0001.ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001
MeanMeansOfNumericAtts
0
Mean of means among attributes of the numeric type.
NaiveBayesErrRate
0.07
Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1MeansOfNumericAtts
-0
First quartile of means among attributes of the numeric type.
REPTreeDepth1AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_NaiveBayesErrRate
0.01
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
RandomTreeDepth3ErrRate
0.03
Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.0001.Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001
MeanMutualInformation
0
Average mutual information between the nominal attributes and the target attribute.
NaiveBayesKappa
0.05
Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes
Quartile1MutualInformation
0
First quartile of mutual information between the nominal attributes and the target attribute.
REPTreeDepth1ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_NaiveBayesKappa
0
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
RandomTreeDepth3Kappa
0.02
Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3
J48.001.AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001
MeanNoiseToSignalRatio
154.83
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
NumberOfBinaryFeatures
14
Number of binary attributes.
Quartile1SkewnessOfNumericAtts
-0.06
First quartile of skewness among attributes of the numeric type.
REPTreeDepth1Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1
CfsSubsetEval_kNN1NAUC
0.5
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
Standard deviation of the number of distinct values among attributes of the nominal type.
J48.001.ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001
MeanNominalAttDistinctValues
2
Average number of distinct values among the attributes of the nominal type.
Quartile1StdDevOfNumericAtts
0.1
First quartile of standard deviation of attributes of the numeric type.
REPTreeDepth2AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2
CfsSubsetEval_kNN1NErrRate
0.01
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
0.56
Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk
J48.001.Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001
MeanSkewnessOfNumericAtts
0.35
Mean skewness among attributes of the numeric type.
Quartile2AttributeEntropy
0.81
Second quartile (Median) of entropy among attributes.
REPTreeDepth2ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2
CfsSubsetEval_kNN1NKappa
0
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
0.02
Error rate achieved by the landmarker weka.classifiers.lazy.IBk
MajorityClassPercentage
98.59
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
0.1
Mean standard deviation of attributes of the numeric type.
Quartile2KurtosisOfNumericAtts
0.86
Second quartile (Median) of kurtosis among attributes of the numeric type.
REPTreeDepth2Kappa
0
Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2
ClassEntropy
0.11
Entropy of the target attribute values.
kNN1NKappa
0.15
Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk
MajorityClassSize
2383
Number of instances belonging to the most frequent class.
MinAttributeEntropy
0.38
Minimal entropy among attributes.
Quartile2MeansOfNumericAtts
0
Second quartile (Median) of means among attributes of the numeric type.
REPTreeDepth3AUC
0.5
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpAUC
0.82
Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxAttributeEntropy
0.99
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.17
Minimum kurtosis among attributes of the numeric type.
Quartile2MutualInformation
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
REPTreeDepth3ErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3
DecisionStumpErrRate
0.01
Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump
MaxKurtosisOfNumericAtts
6.69
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0
Minimum of means among attributes of the numeric type.
Show all 107 properties

14 tasks

Supervised Classification on yeast_ml8
139 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class14
Supervised Classification on yeast_ml8
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class14
Supervised Data Stream Classification on yeast_ml8
0 runs - estimation_procedure: Interleaved Test then Train - target_feature: class14
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
Clustering on yeast_ml8
0 runs - estimation_procedure: 50 times Clustering
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