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
AAPL_stock_price_2021_2022
ARFF
CSV
JSON
XML
RDF
AAPL_stock_price_2021_2022
active
ARFF
Publicly available
Visibility: public
Uploaded 18-05-2022 by
Laurens Krudde
0 likes
downloaded by 0 people , 0 total downloads
0 issues
0 downvotes
Agriculture
Machine Learning
Add tag
Issue
#Downvotes for this reason
By
Loading wiki
Help us complete this description
Edit
Apple stock price of each work day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
6 features
Close
(target)
numeric
334 unique values
0 missing
Date
(row identifier)
string
346 unique values
0 missing
High
numeric
337 unique values
0 missing
Low
numeric
339 unique values
0 missing
Open
numeric
337 unique values
0 missing
Volume
numeric
345 unique values
0 missing
Adj Close
numeric
341 unique values
0 missing
Show all 6 features
19 properties
NumberOfInstances
346
Number of instances (rows) of the dataset.
NumberOfFeatures
6
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
6
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
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.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
-0.99
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0.02
Number of attributes divided by the number of instances.
Show all 19 properties
1 tasks
Supervised Regression on AAPL_stock_price_2021_2022
0 runs
- estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: Close
Define a new task