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tecator

active ARFF Publicly available Visibility: public Uploaded 04-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N').

125 features

binaryClass (target)	nominal	2 unique values 0 missing
absorbance_1	numeric	216 unique values 0 missing
absorbance_2	numeric	216 unique values 0 missing
absorbance_3	numeric	216 unique values 0 missing
absorbance_4	numeric	214 unique values 0 missing
absorbance_5	numeric	216 unique values 0 missing
absorbance_6	numeric	216 unique values 0 missing
absorbance_7	numeric	216 unique values 0 missing
absorbance_8	numeric	216 unique values 0 missing
absorbance_9	numeric	216 unique values 0 missing
absorbance_10	numeric	216 unique values 0 missing
absorbance_11	numeric	216 unique values 0 missing
absorbance_12	numeric	215 unique values 0 missing
absorbance_13	numeric	216 unique values 0 missing
absorbance_14	numeric	216 unique values 0 missing
absorbance_15	numeric	216 unique values 0 missing
absorbance_16	numeric	216 unique values 0 missing
absorbance_17	numeric	216 unique values 0 missing
absorbance_18	numeric	216 unique values 0 missing
absorbance_19	numeric	215 unique values 0 missing
absorbance_20	numeric	216 unique values 0 missing
absorbance_21	numeric	215 unique values 0 missing
absorbance_22	numeric	216 unique values 0 missing
absorbance_23	numeric	216 unique values 0 missing
absorbance_24	numeric	216 unique values 0 missing
absorbance_25	numeric	215 unique values 0 missing
absorbance_26	numeric	216 unique values 0 missing
absorbance_27	numeric	216 unique values 0 missing
absorbance_28	numeric	216 unique values 0 missing
absorbance_29	numeric	215 unique values 0 missing
absorbance_30	numeric	216 unique values 0 missing
absorbance_31	numeric	216 unique values 0 missing
absorbance_32	numeric	215 unique values 0 missing
absorbance_33	numeric	216 unique values 0 missing
absorbance_34	numeric	216 unique values 0 missing
absorbance_35	numeric	215 unique values 0 missing
absorbance_36	numeric	216 unique values 0 missing
absorbance_37	numeric	216 unique values 0 missing
absorbance_38	numeric	216 unique values 0 missing
absorbance_39	numeric	216 unique values 0 missing
absorbance_40	numeric	215 unique values 0 missing
absorbance_41	numeric	216 unique values 0 missing
absorbance_42	numeric	216 unique values 0 missing
absorbance_43	numeric	216 unique values 0 missing
absorbance_44	numeric	216 unique values 0 missing
absorbance_45	numeric	216 unique values 0 missing
absorbance_46	numeric	216 unique values 0 missing
absorbance_47	numeric	216 unique values 0 missing
absorbance_48	numeric	216 unique values 0 missing
absorbance_49	numeric	216 unique values 0 missing
absorbance_50	numeric	216 unique values 0 missing
absorbance_51	numeric	216 unique values 0 missing
absorbance_52	numeric	216 unique values 0 missing
absorbance_53	numeric	216 unique values 0 missing
absorbance_54	numeric	216 unique values 0 missing
absorbance_55	numeric	215 unique values 0 missing
absorbance_56	numeric	215 unique values 0 missing
absorbance_57	numeric	215 unique values 0 missing
absorbance_58	numeric	216 unique values 0 missing
absorbance_59	numeric	215 unique values 0 missing
absorbance_60	numeric	216 unique values 0 missing
absorbance_61	numeric	216 unique values 0 missing
absorbance_62	numeric	216 unique values 0 missing
absorbance_63	numeric	216 unique values 0 missing
absorbance_64	numeric	216 unique values 0 missing
absorbance_65	numeric	216 unique values 0 missing
absorbance_66	numeric	216 unique values 0 missing
absorbance_67	numeric	216 unique values 0 missing
absorbance_68	numeric	215 unique values 0 missing
absorbance_69	numeric	216 unique values 0 missing
absorbance_70	numeric	216 unique values 0 missing
absorbance_71	numeric	216 unique values 0 missing
absorbance_72	numeric	216 unique values 0 missing
absorbance_73	numeric	216 unique values 0 missing
absorbance_74	numeric	216 unique values 0 missing
absorbance_75	numeric	216 unique values 0 missing
absorbance_76	numeric	216 unique values 0 missing
absorbance_77	numeric	216 unique values 0 missing
absorbance_78	numeric	216 unique values 0 missing
absorbance_79	numeric	216 unique values 0 missing
absorbance_80	numeric	216 unique values 0 missing
absorbance_81	numeric	215 unique values 0 missing
absorbance_82	numeric	216 unique values 0 missing
absorbance_83	numeric	216 unique values 0 missing
absorbance_84	numeric	216 unique values 0 missing
absorbance_85	numeric	216 unique values 0 missing
absorbance_86	numeric	215 unique values 0 missing
absorbance_87	numeric	216 unique values 0 missing
absorbance_88	numeric	216 unique values 0 missing
absorbance_89	numeric	216 unique values 0 missing
absorbance_90	numeric	216 unique values 0 missing
absorbance_91	numeric	216 unique values 0 missing
absorbance_92	numeric	216 unique values 0 missing
absorbance_93	numeric	215 unique values 0 missing
absorbance_94	numeric	214 unique values 0 missing
absorbance_95	numeric	216 unique values 0 missing
absorbance_96	numeric	216 unique values 0 missing
absorbance_97	numeric	216 unique values 0 missing
absorbance_98	numeric	216 unique values 0 missing
absorbance_99	numeric	216 unique values 0 missing
absorbance_100	numeric	216 unique values 0 missing
principal_component_1	numeric	216 unique values 0 missing
principal_component_2	numeric	216 unique values 0 missing
principal_component_3	numeric	216 unique values 0 missing
principal_component_4	numeric	217 unique values 0 missing
principal_component_5	numeric	216 unique values 0 missing
principal_component_6	numeric	216 unique values 0 missing
principal_component_7	numeric	216 unique values 0 missing
principal_component_8	numeric	216 unique values 0 missing
principal_component_9	numeric	216 unique values 0 missing
principal_component_10	numeric	216 unique values 0 missing
principal_component_11	numeric	216 unique values 0 missing
principal_component_12	numeric	216 unique values 0 missing
principal_component_13	numeric	216 unique values 0 missing
principal_component_14	numeric	217 unique values 0 missing
principal_component_15	numeric	216 unique values 0 missing
principal_component_16	numeric	216 unique values 0 missing
principal_component_17	numeric	216 unique values 0 missing
principal_component_18	numeric	217 unique values 0 missing
principal_component_19	numeric	216 unique values 0 missing
principal_component_20	numeric	216 unique values 0 missing
principal_component_21	numeric	216 unique values 0 missing
principal_component_22	numeric	216 unique values 0 missing
moisture	numeric	141 unique values 0 missing
fat	numeric	157 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

240

Number of instances (rows) of the dataset.

NumberOfFeatures

125

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

124

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

RandomTreeDepth1Kappa

0.64

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

J48.00001.AUC

0.85

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

MaxSkewnessOfNumericAtts

1.69

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

0.41

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

0.83

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.79

Average class difference between consecutive instances.

RandomTreeDepth2AUC

0.82

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

J48.00001.ErrRate

0.15

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

MaxStdDevOfNumericAtts

14.36

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

42.5

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.2

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

3.41

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.87

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

0.18

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

J48.00001.Kappa

0.7

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

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

102

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.8

Percentage of nominal attributes.

Quartile3MutualInformation

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

CfsSubsetEval_DecisionStumpErrRate

0.16

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

0.64

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

J48.0001.AUC

0.85

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

MeanKurtosisOfNumericAtts

1.03

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.7

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

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

0.91

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

0.67

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

0.82

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

J48.0001.ErrRate

0.15

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

MeanMeansOfNumericAtts

3.24

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.33

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

Quartile1KurtosisOfNumericAtts

0.58

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.55

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

CfsSubsetEval_NaiveBayesAUC

0.87

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

0.16

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

0.18

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

J48.0001.Kappa

0.7

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

0.31

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

Quartile1MeansOfNumericAtts

2.84

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.87

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

CfsSubsetEval_NaiveBayesKappa

0.67

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

0.64

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

J48.001.AUC

0.85

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

Number of binary attributes.

Quartile1MutualInformation

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

REPTreeDepth1ErrRate

0.18

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

CfsSubsetEval_kNN1NAUC

0.87

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

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

J48.001.ErrRate

0.15

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

MeanNominalAttDistinctValues

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

Quartile1SkewnessOfNumericAtts

0.79

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.63

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

CfsSubsetEval_kNN1NErrRate

0.16

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

0.88

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

J48.001.Kappa

0.7

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

MeanSkewnessOfNumericAtts

0.7

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.51

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

REPTreeDepth2AUC

0.87

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

REPTreeDepth2ErrRate

0.18

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

CfsSubsetEval_kNN1NKappa

0.67

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

0.12

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

MajorityClassPercentage

57.5

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

0.8

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2Kappa

0.63

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.98

Entropy of the target attribute values.

kNN1NKappa

0.76

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

138

Number of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

0.66

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

REPTreeDepth3AUC

0.87

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.87

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

0.02

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

3.09

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

REPTreeDepth3ErrRate

0.18

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.15

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

9.36

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

-0.15

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

REPTreeDepth3Kappa

0.63

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

DecisionStumpKappa

0.68

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

MaxMeansOfNumericAtts

62.85

Maximum of means among attributes of the numeric type.

MinMutualInformation

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

Quartile2SkewnessOfNumericAtts

0.83

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

RandomTreeDepth1AUC

0.82

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

Dimensionality

0.52

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

0.8

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.55

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

RandomTreeDepth1ErrRate

0.18

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

-1.55

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

Show all 107 properties