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.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
-446697.12
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0
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
1 tasks
Supervised Regression on Conso_RTE
0 runs
- estimation_procedure: 10-fold Crossvalidation - target_feature: Load
Define a new task