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jura

jura

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Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Jura (Goovaerts 1997) dataset consists of measurements of concentrations of seven heavy metals (cadmium, cobalt, chromium, copper, nickel, lead, and zinc), recorded at 359 locations in the topsoil of a region of the Swiss Jura. The type of land use (Forest, Pasture, Meadow, Tillage) and rock type (Argovian, Kimmeridgian, Sequanian, Portlandian, Quaternary) were also recorded for each location. In a typical scenario (Goovaerts 1997; Alvarez and Lawrence 2011), we are interested in the prediction of the concentration of metals that are more expensive to measure (primary variables) using measurements of metals that are cheaper to sample (secondary variables). In this study, cadmium, copper and lead are treated as target variables while the remaining metals along with land use type, rock type and the coordinates of each location are used as predictive features.

18 features

Cu (target)numeric302 unique values
0 missing
Co (target)numeric219 unique values
0 missing
Cd (target)numeric276 unique values
0 missing
Rock_4numeric2 unique values
0 missing
Znnumeric242 unique values
0 missing
Pbnumeric254 unique values
0 missing
Ninumeric277 unique values
0 missing
Crnumeric265 unique values
0 missing
Rock_5numeric2 unique values
0 missing
Xlocnumeric341 unique values
0 missing
Rock_3numeric2 unique values
0 missing
Rock_2numeric2 unique values
0 missing
Rock_1numeric2 unique values
0 missing
Landuse_4numeric2 unique values
0 missing
Landuse_3numeric2 unique values
0 missing
Landuse_2numeric2 unique values
0 missing
Landuse_1numeric2 unique values
0 missing
Ylocnumeric347 unique values
0 missing
Show all 18 features

62 properties

NumberOfInstances
359
Number of instances (rows) of the dataset.
NumberOfFeatures
18
Number of attributes (columns) of the dataset.
NumberOfClasses
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
18
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
-0.65
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.2
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
0.25
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.4
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.27
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.95
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
1.36
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.67
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
6.56
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
20.91
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
2.3
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
8.74
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
12.64
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.05
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.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
55.64
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
75.88
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
7.57
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
33.1
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
7.13
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
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
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
1.76
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
6.38
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-1.82
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.02
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.44
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.13
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

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Clustering on jura
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Clustering on jura
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Clustering on jura
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Clustering on jura
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Clustering on jura
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