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AAPL_stock_price_2021_2022_1
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AAPL_stock_price_2021_2022_1
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Uploaded 19-05-2022 by
Laurens Krudde
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Apple stock price of each trading day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
6 features
Close
(target)
numeric
335 unique values
0 missing
Date
(row identifier)
string
347 unique values
0 missing
Open
numeric
338 unique values
0 missing
High
numeric
338 unique values
0 missing
Low
numeric
340 unique values
0 missing
Adj Close
numeric
342 unique values
0 missing
Volume
numeric
346 unique values
0 missing
Show all 6 features
19 properties
NumberOfInstances
347
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.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-1.01
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0.02
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.
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 AAPL_stock_price_2021_2022_1
0 runs
- estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: Close
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