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sf1

sf1

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Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Solar Flare dataset (Lichman 2013) has 3 target variables that correspond to the number of times 3 types of solar flare (common, moderate, severe) are observed within 24 h. There are two versions of this dataset. SF1 contains data from year 1969 and SF2 from year 1978.

13 features

c_class (target)numeric3 unique values
0 missing
m_class (target)numeric4 unique values
0 missing
x_class (target)numeric2 unique values
0 missing
mod_zurich_classnominal6 unique values
0 missing
largest_spot_sizenominal6 unique values
0 missing
spot_distributionnominal4 unique values
0 missing
activitynominal2 unique values
0 missing
evolutionnominal3 unique values
0 missing
previous_day_activitynominal2 unique values
0 missing
hist_complexnominal2 unique values
0 missing
become_hist_complexnominal2 unique values
0 missing
areanominal2 unique values
0 missing
area_largestnominal2 unique values
0 missing
Show all 13 features

62 properties

NumberOfInstances
323
Number of instances (rows) of the dataset.
NumberOfFeatures
13
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
3
Number of numeric attributes.
NumberOfSymbolicFeatures
10
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
46.15
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
23.08
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
76.92
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
9.64
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.02
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
1.66
Standard deviation of the number of distinct values among attributes of the nominal type.
Quartile1SkewnessOfNumericAtts
3.14
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.15
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
28.81
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.13
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
4.79
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.4
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
41.83
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.14
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
6.6
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.48
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
0.1
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.04
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
41.83
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
0.14
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
6
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
6.6
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.48
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
26.76
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
6
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
3.1
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
4.84
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
0.34
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
9.64
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
2
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
3.14
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.15
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

9 tasks

Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
Clustering on sf1
0 runs - estimation_procedure: 50 times Clustering
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