Data
OpenML
Help
Sign in
×
Sign in
No account? Join OpenML
Forgot password
×
JavaScript is required to properly view the contents of this page!
OpenML
Explore
Data
Task
Flow
Run
Study
Task type
Measure
People
Help
Blog
Contact
Please cite us
Conso_RTE
ARFF
CSV
JSON
XML
RDF
Conso_RTE
active
ARFF
Attribution-NonCommercial (CC BY-NC)
Visibility: public
Uploaded 11-09-2024 by
Julie Keisler
0 likes
downloaded by 0 people , 0 total downloads
0 issues
0 downvotes
Add tag
Issue
#Downvotes for this reason
By
Loading wiki
Help us complete this description
Edit
French Electricity Consumption
16 features
Load
(target)
numeric
104794 unique values
0 missing
Unnamed: 0
numeric
105168 unique values
0 missing
temp
numeric
105167 unique values
0 missing
wind
numeric
105167 unique values
0 missing
sun
numeric
49472 unique values
0 missing
Instant
numeric
48 unique values
0 missing
Posan
numeric
35084 unique values
0 missing
JourSemaine
numeric
7 unique values
0 missing
JourFerie
numeric
2 unique values
0 missing
offset
numeric
9 unique values
0 missing
DayType
numeric
7 unique values
0 missing
Weekend
numeric
2 unique values
0 missing
temp_liss_fort
numeric
105168 unique values
0 missing
temp_liss_faible
numeric
105168 unique values
0 missing
tempMax
numeric
2191 unique values
0 missing
tempMin
numeric
2191 unique values
0 missing
Show all 16 features
19 properties
NumberOfInstances
105168
Number of instances (rows) of the dataset.
NumberOfFeatures
16
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
16
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-446697.12
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Show all 19 properties
1 tasks
Supervised Regression on Conso_RTE
0 runs
- estimation_procedure: 10-fold Crossvalidation - target_feature: Load
Define a new task