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DEE

DEE

active ARFF Public Domain (CC0) Visibility: public Uploaded 19-04-2020 by Rafael Gomes Mantovani
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Daily electric energy dataset The dee problem involves predicting the daily average price of TkWhe electricity energy in Spain. The data set contains real values from 2003 about the daily consumption in Spain of energy from hydroelectric, nuclear electric, carbon, fuel, natural gas and other special sources of energy. Missing values. No ### Attributes 1. Hydroelectric real[27881.8,206035.0] 2. Nuclear real[114760.0,187105.0] 3. Coal real[33537.0,234833.0] 4. Fuel real[0.0,67986.5] 5. Gas real[0.0,84452.2] 6. Special real[5307.0,16357.0] 7. Consume real[0.765853,5.11875]

7 features

Consume (target)numeric365 unique values
0 missing
Hydroelectricnumeric365 unique values
0 missing
Nuclearnumeric363 unique values
0 missing
Coalnumeric364 unique values
0 missing
Fuelnumeric343 unique values
0 missing
Gasnumeric359 unique values
0 missing
Specialnumeric354 unique values
0 missing
Show all 7 features

19 properties

NumberOfInstances
365
Number of instances (rows) of the dataset.
NumberOfFeatures
7
Number of attributes (columns) of the dataset.
NumberOfClasses
0
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
7
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
0.42
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
Show all 19 properties

8 tasks

Supervised Regression on DEE
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Consume
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
Clustering on DEE
0 runs - estimation_procedure: 50 times Clustering
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