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rf2

rf2

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Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The river flow datasets concern the prediction of river network flows for 48 h in the future at specific locations. The dataset contains data from hourly flow observations for 8 sites in the Mississippi River network in the United States and were obtained from the US National Weather Service. Each row includes the most recent observation for each of the 8 sites as well as time-lagged observations from 6, 12, 18, 24, 36, 48 and 60 h in the past. In RF1, each site contributes 8 attribute variables to facilitate prediction. There are a total of 64 variables plus 8 target variables.The RF2 dataset extends the RF1 data by adding precipitation forecast information for each of the 8 sites (expected rainfall reported as discrete values: 0.0, 0.01, 0.25, 1.0 inches). For each observation and gauge site, the precipitation forecast for 6 h windows up to 48 h in the future is added (6, 12, 18, 24, 30, 36, 42, and 48 h). The two datasets both contain over 1 year of hourly observations ( > 9000 h) collected from September 2011 to September 2012. The domain is a natural candidate for multi-target regression because there are clear physical relationships between readings in the contiguous river network.

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chsi2_42to48hr__n24numeric5 unique values
678 missing
nasi2_42to48hr__n24numeric5 unique values
678 missing
eadm7_42to48hr__n24numeric4 unique values
678 missing
sclm7_42to48hr__n24numeric4 unique values
678 missing
clkm7_42to48hr__n24numeric5 unique values
678 missing
vali2_42to48hr__n24numeric6 unique values
678 missing
napm7_42to48hr__n24numeric6 unique values
678 missing
dldi4_42to48hr__n24numeric4 unique values
678 missing
chsi2_0to6hr__n36numeric5 unique values
738 missing
nasi2_0to6hr__n36numeric5 unique values
738 missing
eadm7_0to6hr__n36numeric5 unique values
738 missing
sclm7_0to6hr__n36numeric5 unique values
738 missing
clkm7_0to6hr__n36numeric5 unique values
738 missing
vali2_0to6hr__n36numeric5 unique values
738 missing
napm7_0to6hr__n36numeric4 unique values
738 missing
dldi4_0to6hr__n36numeric4 unique values
738 missing
chsi2_6to12hr__n36numeric5 unique values
720 missing
nasi2_6to12hr__n36numeric5 unique values
720 missing
eadm7_6to12hr__n36numeric5 unique values
720 missing
sclm7_6to12hr__n36numeric5 unique values
720 missing
clkm7_6to12hr__n36numeric5 unique values
720 missing
vali2_6to12hr__n36numeric5 unique values
720 missing
napm7_6to12hr__n36numeric5 unique values
720 missing
dldi4_6to12hr__n36numeric4 unique values
720 missing
chsi2_12to18hr__n36numeric5 unique values
714 missing
nasi2_12to18hr__n36numeric5 unique values
714 missing
eadm7_12to18hr__n36numeric5 unique values
714 missing
sclm7_12to18hr__n36numeric5 unique values
714 missing
clkm7_12to18hr__n36numeric5 unique values
714 missing
vali2_12to18hr__n36numeric5 unique values
714 missing
napm7_12to18hr__n36numeric4 unique values
714 missing
dldi4_12to18hr__n36numeric4 unique values
714 missing
chsi2_18to24hr__n36numeric5 unique values
720 missing
nasi2_18to24hr__n36numeric5 unique values
720 missing
eadm7_18to24hr__n36numeric5 unique values
720 missing
sclm7_18to24hr__n36numeric5 unique values
720 missing
clkm7_18to24hr__n36numeric5 unique values
720 missing
vali2_18to24hr__n36numeric5 unique values
720 missing
napm7_18to24hr__n36numeric4 unique values
720 missing
dldi4_18to24hr__n36numeric4 unique values
720 missing
chsi2_24to30hr__n36numeric5 unique values
690 missing
nasi2_24to30hr__n36numeric5 unique values
690 missing
eadm7_24to30hr__n36numeric5 unique values
690 missing
sclm7_24to30hr__n36numeric5 unique values
690 missing
clkm7_24to30hr__n36numeric5 unique values
690 missing
vali2_24to30hr__n36numeric5 unique values
690 missing
napm7_24to30hr__n36numeric4 unique values
690 missing
dldi4_24to30hr__n36numeric4 unique values
690 missing
chsi2_30to36hr__n36numeric6 unique values
702 missing
nasi2_30to36hr__n36numeric6 unique values
702 missing
eadm7_30to36hr__n36numeric5 unique values
702 missing
sclm7_30to36hr__n36numeric6 unique values
702 missing
clkm7_30to36hr__n36numeric5 unique values
702 missing
vali2_30to36hr__n36numeric5 unique values
702 missing
napm7_30to36hr__n36numeric4 unique values
702 missing
dldi4_30to36hr__n36numeric4 unique values
702 missing
chsi2_36to42hr__n36numeric5 unique values
696 missing
nasi2_36to42hr__n36numeric5 unique values
696 missing
eadm7_36to42hr__n36numeric6 unique values
696 missing
sclm7_36to42hr__n36numeric6 unique values
696 missing
clkm7_36to42hr__n36numeric5 unique values
696 missing
vali2_36to42hr__n36numeric6 unique values
696 missing
napm7_36to42hr__n36numeric4 unique values
696 missing
dldi4_36to42hr__n36numeric4 unique values
696 missing
chsi2_42to48hr__n36numeric5 unique values
702 missing
nasi2_42to48hr__n36numeric5 unique values
702 missing
eadm7_42to48hr__n36numeric4 unique values
702 missing
sclm7_42to48hr__n36numeric4 unique values
702 missing
clkm7_42to48hr__n36numeric5 unique values
702 missing
vali2_42to48hr__n36numeric6 unique values
702 missing
napm7_42to48hr__n36numeric6 unique values
702 missing
dldi4_42to48hr__n36numeric4 unique values
702 missing
chsi2_0to6hr__n48numeric5 unique values
762 missing
nasi2_0to6hr__n48numeric5 unique values
762 missing
eadm7_0to6hr__n48numeric5 unique values
762 missing
sclm7_0to6hr__n48numeric5 unique values
762 missing
clkm7_0to6hr__n48numeric5 unique values
762 missing
vali2_0to6hr__n48numeric5 unique values
762 missing
napm7_0to6hr__n48numeric4 unique values
762 missing
dldi4_0to6hr__n48numeric4 unique values
762 missing
chsi2_6to12hr__n48numeric5 unique values
744 missing
nasi2_6to12hr__n48numeric5 unique values
744 missing
eadm7_6to12hr__n48numeric5 unique values
744 missing
sclm7_6to12hr__n48numeric5 unique values
744 missing
clkm7_6to12hr__n48numeric5 unique values
744 missing
vali2_6to12hr__n48numeric5 unique values
744 missing
napm7_6to12hr__n48numeric5 unique values
744 missing
dldi4_6to12hr__n48numeric4 unique values
744 missing
chsi2_12to18hr__n48numeric5 unique values
738 missing
nasi2_12to18hr__n48numeric5 unique values
738 missing
eadm7_12to18hr__n48numeric5 unique values
738 missing
sclm7_12to18hr__n48numeric5 unique values
738 missing
clkm7_12to18hr__n48numeric5 unique values
738 missing
vali2_12to18hr__n48numeric5 unique values
738 missing
napm7_12to18hr__n48numeric4 unique values
738 missing
dldi4_12to18hr__n48numeric4 unique values
738 missing
chsi2_18to24hr__n48numeric5 unique values
744 missing
nasi2_18to24hr__n48numeric5 unique values
744 missing
eadm7_18to24hr__n48numeric5 unique values
744 missing
sclm7_18to24hr__n48numeric5 unique values
744 missing
clkm7_18to24hr__n48numeric5 unique values
744 missing
vali2_18to24hr__n48numeric5 unique values
744 missing
napm7_18to24hr__n48numeric4 unique values
744 missing
dldi4_18to24hr__n48numeric4 unique values
744 missing
chsi2_24to30hr__n48numeric5 unique values
714 missing
nasi2_24to30hr__n48numeric5 unique values
714 missing
eadm7_24to30hr__n48numeric5 unique values
714 missing
sclm7_24to30hr__n48numeric5 unique values
714 missing
clkm7_24to30hr__n48numeric5 unique values
714 missing
vali2_24to30hr__n48numeric5 unique values
714 missing
napm7_24to30hr__n48numeric4 unique values
714 missing
dldi4_24to30hr__n48numeric4 unique values
714 missing
chsi2_30to36hr__n48numeric6 unique values
726 missing
nasi2_30to36hr__n48numeric6 unique values
726 missing
eadm7_30to36hr__n48numeric5 unique values
726 missing
sclm7_30to36hr__n48numeric6 unique values
726 missing
clkm7_30to36hr__n48numeric5 unique values
726 missing
vali2_30to36hr__n48numeric5 unique values
726 missing
napm7_30to36hr__n48numeric4 unique values
726 missing
dldi4_30to36hr__n48numeric4 unique values
726 missing
chsi2_36to42hr__n48numeric5 unique values
720 missing
nasi2_36to42hr__n48numeric5 unique values
720 missing
eadm7_36to42hr__n48numeric6 unique values
720 missing
sclm7_36to42hr__n48numeric6 unique values
720 missing
clkm7_36to42hr__n48numeric5 unique values
720 missing
vali2_36to42hr__n48numeric6 unique values
720 missing
napm7_36to42hr__n48numeric4 unique values
720 missing
dldi4_36to42hr__n48numeric4 unique values
720 missing
chsi2_42to48hr__n48numeric5 unique values
726 missing
nasi2_42to48hr__n48numeric5 unique values
726 missing
eadm7_42to48hr__n48numeric4 unique values
726 missing
sclm7_42to48hr__n48numeric4 unique values
726 missing
clkm7_42to48hr__n48numeric5 unique values
726 missing
vali2_42to48hr__n48numeric6 unique values
726 missing
napm7_42to48hr__n48numeric6 unique values
726 missing
dldi4_42to48hr__n48numeric4 unique values
726 missing
chsi2_0to6hr__n60numeric5 unique values
786 missing
nasi2_0to6hr__n60numeric5 unique values
786 missing
eadm7_0to6hr__n60numeric5 unique values
786 missing
sclm7_0to6hr__n60numeric5 unique values
786 missing
clkm7_0to6hr__n60numeric5 unique values
786 missing
vali2_0to6hr__n60numeric5 unique values
786 missing
napm7_0to6hr__n60numeric4 unique values
786 missing
dldi4_0to6hr__n60numeric4 unique values
786 missing
chsi2_6to12hr__n60numeric5 unique values
768 missing
nasi2_6to12hr__n60numeric5 unique values
768 missing
eadm7_6to12hr__n60numeric5 unique values
768 missing
sclm7_6to12hr__n60numeric5 unique values
768 missing
clkm7_6to12hr__n60numeric5 unique values
768 missing
vali2_6to12hr__n60numeric5 unique values
768 missing
napm7_6to12hr__n60numeric5 unique values
768 missing
dldi4_6to12hr__n60numeric4 unique values
768 missing
chsi2_12to18hr__n60numeric5 unique values
762 missing
nasi2_12to18hr__n60numeric5 unique values
762 missing
eadm7_12to18hr__n60numeric5 unique values
762 missing
sclm7_12to18hr__n60numeric5 unique values
762 missing
clkm7_12to18hr__n60numeric5 unique values
762 missing
vali2_12to18hr__n60numeric5 unique values
762 missing
napm7_12to18hr__n60numeric4 unique values
762 missing
dldi4_12to18hr__n60numeric4 unique values
762 missing
chsi2_18to24hr__n60numeric5 unique values
768 missing
nasi2_18to24hr__n60numeric5 unique values
768 missing
eadm7_18to24hr__n60numeric5 unique values
768 missing
sclm7_18to24hr__n60numeric5 unique values
768 missing
clkm7_18to24hr__n60numeric5 unique values
768 missing
vali2_18to24hr__n60numeric5 unique values
768 missing
napm7_18to24hr__n60numeric4 unique values
768 missing
dldi4_18to24hr__n60numeric4 unique values
768 missing
chsi2_24to30hr__n60numeric5 unique values
738 missing
nasi2_24to30hr__n60numeric5 unique values
738 missing
eadm7_24to30hr__n60numeric5 unique values
738 missing
sclm7_24to30hr__n60numeric5 unique values
738 missing
clkm7_24to30hr__n60numeric5 unique values
738 missing
vali2_24to30hr__n60numeric5 unique values
738 missing
napm7_24to30hr__n60numeric4 unique values
738 missing
dldi4_24to30hr__n60numeric4 unique values
738 missing
chsi2_30to36hr__n60numeric6 unique values
750 missing
nasi2_30to36hr__n60numeric6 unique values
750 missing
eadm7_30to36hr__n60numeric5 unique values
750 missing
sclm7_30to36hr__n60numeric6 unique values
750 missing
clkm7_30to36hr__n60numeric5 unique values
750 missing
vali2_30to36hr__n60numeric5 unique values
750 missing
napm7_30to36hr__n60numeric4 unique values
750 missing
dldi4_30to36hr__n60numeric4 unique values
750 missing
chsi2_36to42hr__n60numeric5 unique values
744 missing
nasi2_36to42hr__n60numeric5 unique values
744 missing
eadm7_36to42hr__n60numeric6 unique values
744 missing
sclm7_36to42hr__n60numeric6 unique values
744 missing
clkm7_36to42hr__n60numeric5 unique values
744 missing
vali2_36to42hr__n60numeric6 unique values
744 missing
napm7_36to42hr__n60numeric4 unique values
744 missing
dldi4_36to42hr__n60numeric4 unique values
744 missing
chsi2_42to48hr__n60numeric5 unique values
750 missing
nasi2_42to48hr__n60numeric5 unique values
750 missing
eadm7_42to48hr__n60numeric4 unique values
750 missing
sclm7_42to48hr__n60numeric4 unique values
750 missing
clkm7_42to48hr__n60numeric5 unique values
750 missing
vali2_42to48hr__n60numeric6 unique values
750 missing
napm7_42to48hr__n60numeric6 unique values
750 missing
dldi4_42to48hr__n60numeric4 unique values
750 missing
Show first 100 features

62 properties

NumberOfInstances
9125
Number of instances (rows) of the dataset.
NumberOfFeatures
584
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
356160
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
1446
Number of instances with at least one value missing.
NumberOfNumericFeatures
584
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
15.85
Percentage of instances having missing values.
PercentageOfMissingValues
6.68
Percentage of missing values.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
51.16
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
0.01
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
6.74
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.06
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
75.95
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.01
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
7.73
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.07
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
100.4
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
0.01
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
8.94
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.07
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
9.14
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.06
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
5534.3
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
164.62
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
65.94
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
61.81
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
161.84
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
8.28
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
3.73
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
0.25
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0.01
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
0.85
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.05
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 rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
Clustering on rf2
0 runs - estimation_procedure: 50 times Clustering
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