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rf2

rf2

in_preparation ARFF Publicly available Visibility: public Uploaded 22-11-2018 by Quay Au
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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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sclm7_18to24hr__n36numeric5 unique values
720 missing
clkm7_18to24hr__n6numeric5 unique values
660 missing
clkm7_18to24hr__n36numeric5 unique values
720 missing
vali2_18to24hr__n6numeric5 unique values
660 missing
vali2_18to24hr__n36numeric5 unique values
720 missing
napm7_18to24hr__n6numeric4 unique values
660 missing
napm7_18to24hr__n36numeric4 unique values
720 missing
dldi4_18to24hr__n6numeric4 unique values
660 missing
dldi4_18to24hr__n36numeric4 unique values
720 missing
chsi2_24to30hr__n6numeric5 unique values
630 missing
chsi2_24to30hr__n36numeric5 unique values
690 missing
nasi2_24to30hr__n6numeric5 unique values
630 missing
nasi2_24to30hr__n36numeric5 unique values
690 missing
eadm7_24to30hr__n6numeric5 unique values
630 missing
eadm7_24to30hr__n36numeric5 unique values
690 missing
sclm7_24to30hr__n6numeric5 unique values
630 missing
sclm7_24to30hr__n36numeric5 unique values
690 missing
clkm7_24to30hr__n6numeric5 unique values
630 missing
clkm7_24to30hr__n36numeric5 unique values
690 missing
vali2_24to30hr__n6numeric5 unique values
630 missing
vali2_24to30hr__n36numeric5 unique values
690 missing
napm7_24to30hr__n6numeric4 unique values
630 missing
napm7_24to30hr__n36numeric4 unique values
690 missing
dldi4_24to30hr__n6numeric4 unique values
630 missing
dldi4_24to30hr__n36numeric4 unique values
690 missing
chsi2_30to36hr__n6numeric6 unique values
642 missing
chsi2_30to36hr__n36numeric6 unique values
702 missing
nasi2_30to36hr__n6numeric6 unique values
642 missing
nasi2_30to36hr__n36numeric6 unique values
702 missing
eadm7_30to36hr__n6numeric5 unique values
642 missing
eadm7_30to36hr__n36numeric5 unique values
702 missing
sclm7_30to36hr__n6numeric6 unique values
642 missing
sclm7_30to36hr__n36numeric6 unique values
702 missing
clkm7_30to36hr__n6numeric5 unique values
642 missing
clkm7_30to36hr__n36numeric5 unique values
702 missing
vali2_30to36hr__n6numeric5 unique values
642 missing
vali2_30to36hr__n36numeric5 unique values
702 missing
napm7_30to36hr__n6numeric4 unique values
642 missing
napm7_30to36hr__n36numeric4 unique values
702 missing
dldi4_30to36hr__n6numeric4 unique values
642 missing
dldi4_30to36hr__n36numeric4 unique values
702 missing
chsi2_36to42hr__n6numeric5 unique values
636 missing
chsi2_36to42hr__n36numeric5 unique values
696 missing
nasi2_36to42hr__n6numeric5 unique values
636 missing
nasi2_36to42hr__n36numeric5 unique values
696 missing
eadm7_36to42hr__n6numeric6 unique values
636 missing
eadm7_36to42hr__n36numeric6 unique values
696 missing
sclm7_36to42hr__n6numeric6 unique values
636 missing
sclm7_36to42hr__n36numeric6 unique values
696 missing
clkm7_36to42hr__n6numeric5 unique values
636 missing
clkm7_36to42hr__n36numeric5 unique values
696 missing
vali2_36to42hr__n6numeric6 unique values
636 missing
vali2_36to42hr__n36numeric6 unique values
696 missing
napm7_36to42hr__n6numeric4 unique values
636 missing
napm7_36to42hr__n36numeric4 unique values
696 missing
dldi4_36to42hr__n6numeric4 unique values
636 missing
dldi4_36to42hr__n36numeric4 unique values
696 missing
chsi2_42to48hr__n6numeric5 unique values
642 missing
chsi2_42to48hr__n36numeric5 unique values
702 missing
nasi2_42to48hr__n6numeric5 unique values
642 missing
nasi2_42to48hr__n36numeric5 unique values
702 missing
eadm7_42to48hr__n6numeric4 unique values
642 missing
eadm7_42to48hr__n36numeric4 unique values
702 missing
sclm7_42to48hr__n6numeric4 unique values
642 missing
sclm7_42to48hr__n36numeric4 unique values
702 missing
clkm7_42to48hr__n6numeric5 unique values
642 missing
clkm7_42to48hr__n36numeric5 unique values
702 missing
vali2_42to48hr__n6numeric6 unique values
642 missing
vali2_42to48hr__n36numeric6 unique values
702 missing
napm7_42to48hr__n6numeric6 unique values
642 missing
napm7_42to48hr__n36numeric6 unique values
702 missing
dldi4_42to48hr__n6numeric4 unique values
642 missing
dldi4_42to48hr__n36numeric4 unique values
702 missing
chsi2_0to6hr__n12numeric5 unique values
690 missing
chsi2_0to6hr__n48numeric5 unique values
762 missing
nasi2_0to6hr__n12numeric5 unique values
690 missing
nasi2_0to6hr__n48numeric5 unique values
762 missing
eadm7_0to6hr__n12numeric5 unique values
690 missing
eadm7_0to6hr__n48numeric5 unique values
762 missing
sclm7_0to6hr__n12numeric5 unique values
690 missing
sclm7_0to6hr__n48numeric5 unique values
762 missing
clkm7_0to6hr__n12numeric5 unique values
690 missing
clkm7_0to6hr__n48numeric5 unique values
762 missing
vali2_0to6hr__n12numeric5 unique values
690 missing
vali2_0to6hr__n48numeric5 unique values
762 missing
napm7_0to6hr__n12numeric4 unique values
690 missing
napm7_0to6hr__n48numeric4 unique values
762 missing
dldi4_0to6hr__n12numeric4 unique values
690 missing
dldi4_0to6hr__n48numeric4 unique values
762 missing
chsi2_6to12hr__n12numeric5 unique values
672 missing
chsi2_6to12hr__n48numeric5 unique values
744 missing
nasi2_6to12hr__n12numeric5 unique values
672 missing
nasi2_6to12hr__n48numeric5 unique values
744 missing
eadm7_6to12hr__n12numeric5 unique values
672 missing
eadm7_6to12hr__n48numeric5 unique values
744 missing
sclm7_6to12hr__n12numeric5 unique values
672 missing
sclm7_6to12hr__n48numeric5 unique values
744 missing
clkm7_6to12hr__n12numeric5 unique values
672 missing
clkm7_6to12hr__n48numeric5 unique values
744 missing
vali2_6to12hr__n12numeric5 unique values
672 missing
vali2_6to12hr__n48numeric5 unique values
744 missing
napm7_6to12hr__n12numeric5 unique values
672 missing
napm7_6to12hr__n48numeric5 unique values
744 missing
dldi4_6to12hr__n12numeric4 unique values
672 missing
dldi4_6to12hr__n48numeric4 unique values
744 missing
chsi2_12to18hr__n12numeric5 unique values
666 missing
chsi2_12to18hr__n48numeric5 unique values
738 missing
nasi2_12to18hr__n12numeric5 unique values
666 missing
nasi2_12to18hr__n48numeric5 unique values
738 missing
eadm7_12to18hr__n12numeric5 unique values
666 missing
eadm7_12to18hr__n48numeric5 unique values
738 missing
sclm7_12to18hr__n12numeric5 unique values
666 missing
sclm7_12to18hr__n48numeric5 unique values
738 missing
clkm7_12to18hr__n12numeric5 unique values
666 missing
clkm7_12to18hr__n48numeric5 unique values
738 missing
vali2_12to18hr__n12numeric5 unique values
666 missing
vali2_12to18hr__n48numeric5 unique values
738 missing
napm7_12to18hr__n12numeric4 unique values
666 missing
napm7_12to18hr__n48numeric4 unique values
738 missing
dldi4_12to18hr__n12numeric4 unique values
666 missing
dldi4_12to18hr__n48numeric4 unique values
738 missing
chsi2_18to24hr__n12numeric5 unique values
672 missing
chsi2_18to24hr__n48numeric5 unique values
744 missing
nasi2_18to24hr__n12numeric5 unique values
672 missing
nasi2_18to24hr__n48numeric5 unique values
744 missing
eadm7_18to24hr__n12numeric5 unique values
672 missing
eadm7_18to24hr__n48numeric5 unique values
744 missing
sclm7_18to24hr__n12numeric5 unique values
672 missing
sclm7_18to24hr__n48numeric5 unique values
744 missing
clkm7_18to24hr__n12numeric5 unique values
672 missing
clkm7_18to24hr__n48numeric5 unique values
744 missing
vali2_18to24hr__n12numeric5 unique values
672 missing
vali2_18to24hr__n48numeric5 unique values
744 missing
napm7_18to24hr__n12numeric4 unique values
672 missing
napm7_18to24hr__n48numeric4 unique values
744 missing
dldi4_18to24hr__n12numeric4 unique values
672 missing
dldi4_18to24hr__n48numeric4 unique values
744 missing
chsi2_24to30hr__n12numeric5 unique values
642 missing
chsi2_24to30hr__n48numeric5 unique values
714 missing
nasi2_24to30hr__n12numeric5 unique values
642 missing
nasi2_24to30hr__n48numeric5 unique values
714 missing
eadm7_24to30hr__n12numeric5 unique values
642 missing
eadm7_24to30hr__n48numeric5 unique values
714 missing
sclm7_24to30hr__n12numeric5 unique values
642 missing
sclm7_24to30hr__n48numeric5 unique values
714 missing
clkm7_24to30hr__n12numeric5 unique values
642 missing
clkm7_24to30hr__n48numeric5 unique values
714 missing
vali2_24to30hr__n12numeric5 unique values
642 missing
vali2_24to30hr__n48numeric5 unique values
714 missing
napm7_24to30hr__n12numeric4 unique values
642 missing
napm7_24to30hr__n48numeric4 unique values
714 missing
dldi4_24to30hr__n12numeric4 unique values
642 missing
dldi4_24to30hr__n48numeric4 unique values
714 missing
chsi2_30to36hr__n12numeric6 unique values
654 missing
chsi2_30to36hr__n48numeric6 unique values
726 missing
nasi2_30to36hr__n12numeric6 unique values
654 missing
nasi2_30to36hr__n48numeric6 unique values
726 missing
eadm7_30to36hr__n12numeric5 unique values
654 missing
eadm7_30to36hr__n48numeric5 unique values
726 missing
sclm7_30to36hr__n12numeric6 unique values
654 missing
sclm7_30to36hr__n48numeric6 unique values
726 missing
clkm7_30to36hr__n12numeric5 unique values
654 missing
clkm7_30to36hr__n48numeric5 unique values
726 missing
vali2_30to36hr__n12numeric5 unique values
654 missing
vali2_30to36hr__n48numeric5 unique values
726 missing
napm7_30to36hr__n12numeric4 unique values
654 missing
napm7_30to36hr__n48numeric4 unique values
726 missing
dldi4_30to36hr__n12numeric4 unique values
654 missing
dldi4_30to36hr__n48numeric4 unique values
726 missing
chsi2_36to42hr__n12numeric5 unique values
648 missing
chsi2_36to42hr__n48numeric5 unique values
720 missing
nasi2_36to42hr__n12numeric5 unique values
648 missing
nasi2_36to42hr__n48numeric5 unique values
720 missing
eadm7_36to42hr__n12numeric6 unique values
648 missing
eadm7_36to42hr__n48numeric6 unique values
720 missing
sclm7_36to42hr__n12numeric6 unique values
648 missing
sclm7_36to42hr__n48numeric6 unique values
720 missing
clkm7_36to42hr__n12numeric5 unique values
648 missing
clkm7_36to42hr__n48numeric5 unique values
720 missing
vali2_36to42hr__n12numeric6 unique values
648 missing
vali2_36to42hr__n48numeric6 unique values
720 missing
napm7_36to42hr__n12numeric4 unique values
648 missing
napm7_36to42hr__n48numeric4 unique values
720 missing
dldi4_36to42hr__n12numeric4 unique values
648 missing
dldi4_36to42hr__n48numeric4 unique values
720 missing
chsi2_42to48hr__n12numeric5 unique values
654 missing
chsi2_42to48hr__n48numeric5 unique values
726 missing
nasi2_42to48hr__n12numeric5 unique values
654 missing
nasi2_42to48hr__n48numeric5 unique values
726 missing
eadm7_42to48hr__n12numeric4 unique values
654 missing
eadm7_42to48hr__n48numeric4 unique values
726 missing
sclm7_42to48hr__n12numeric4 unique values
654 missing
sclm7_42to48hr__n48numeric4 unique values
726 missing
clkm7_42to48hr__n12numeric5 unique values
654 missing
clkm7_42to48hr__n48numeric5 unique values
726 missing
vali2_42to48hr__n12numeric6 unique values
654 missing
vali2_42to48hr__n48numeric6 unique values
726 missing
napm7_42to48hr__n12numeric6 unique values
654 missing
napm7_42to48hr__n48numeric6 unique values
726 missing
dldi4_42to48hr__n12numeric4 unique values
654 missing
dldi4_42to48hr__n48numeric4 unique values
726 missing

62 properties

9125
Number of instances (rows) of the dataset.
584
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
356160
Number of missing values in the dataset.
1446
Number of instances with at least one value missing.
584
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
0.85
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
8.94
Third quartile of skewness among attributes of the numeric type.
65.94
Maximum skewness among attributes of the numeric type.
0.05
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.07
Third quartile of standard deviation of attributes of the numeric type.
61.81
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
51.16
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.01
First quartile of means among attributes of the numeric type.
161.84
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
9.14
Mean of means among attributes of the numeric type.
6.74
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.06
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.06
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
75.95
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
8.28
Mean skewness among attributes of the numeric type.
0.01
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
3.73
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
7.73
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
0.25
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.07
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
5534.3
Maximum kurtosis among attributes of the numeric type.
0.01
Minimum of means among attributes of the numeric type.
15.85
Percentage of instances having missing values.
100.4
Third quartile of kurtosis among attributes of the numeric type.
164.62
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
6.68
Percentage of missing values.

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