Data
synchronous_machine

synchronous_machine

active ARFF CC BY 4.0 Visibility: public Uploaded 22-12-2022 by Sebastian Fischer
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Data Description Synchronous motors (SMs) are AC motors with constant speed. Synchronous machine data were obtained in real time from the experimental operating environment. The task is to estimate the excitation current of SM. Attribute Description First four features are Synchronous motor parameters. 1. *load_current* 2. *power_factor* 3. *power_factor_error* 4. *changing_of_excitation* 5. *excitation_current* - target feature

5 features

excitation_current (target)numeric306 unique values
0 missing
load_currentnumeric31 unique values
0 missing
power_factornumeric36 unique values
0 missing
power_factor_errornumeric36 unique values
0 missing
changing_of_excitationnumeric306 unique values
0 missing
Show all 5 features

19 properties

NumberOfInstances
557
Number of instances (rows) of the dataset.
NumberOfFeatures
5
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
5
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
0.95
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0.01
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

2 tasks

Supervised Regression on synchronous_machine
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: excitation_current
Supervised Regression on synchronous_machine
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: excitation_current
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