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Reading_Hydro

Reading_Hydro

active ARFF Publicly available Visibility: public Uploaded 21-09-2022 by Perry
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Data from the twin Archimedes screw hydro-electric generator on the river Thames at Caversham weir, Reading, UK.

27 features

upstream (target)numeric82 unique values
0 missing
gen1_drive_rpmnumeric1 unique values
0 missing
gen2_operating_hoursnumeric1 unique values
0 missing
gen1_operating_hoursnumeric1 unique values
0 missing
gen2_total_flow_m3numeric1 unique values
0 missing
gen1_total_flow_m3numeric1 unique values
0 missing
control_panel_tempnumeric62 unique values
0 missing
gen2_inverter_ampnumeric1 unique values
0 missing
gen2_gearbox_tempnumeric69 unique values
0 missing
gen1_inverter_ampnumeric1 unique values
0 missing
gen1_gearbox_tempnumeric68 unique values
0 missing
gen2_energy_mwhnumeric1 unique values
0 missing
gen1_energy_mwhnumeric1 unique values
0 missing
gen2_screw_rpmnumeric1 unique values
0 missing
gen2_drive_rpmnumeric1 unique values
0 missing
gen1_screw_rpmnumeric1 unique values
0 missing
id (ignore)string1 unique values
0 missing
gen2_power_kwnumeric9 unique values
0 missing
gen1_power_kwnumeric1 unique values
0 missing
gen2_flow_lsnumeric1 unique values
0 missing
gen1_flow_lsnumeric1 unique values
0 missing
gen2_torquenumeric1 unique values
0 missing
gen1_torquenumeric1 unique values
0 missing
downstreamnumeric55 unique values
0 missing
timestampnumeric1000 unique values
0 missing
room_tempnumeric128 unique values
0 missing
forebay_2numeric8 unique values
0 missing
forebay_1numeric12 unique values
0 missing
location (ignore)string1 unique values
0 missing
Show all 27 features

19 properties

NumberOfInstances
1000
Number of instances (rows) of the dataset.
NumberOfFeatures
27
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
27
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0.03
Number of attributes divided by the number of instances.
Show all 19 properties

1 tasks

Supervised Regression on Reading_Hydro
1 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: upstream
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