Data
stock

stock

active ARFF Publicly available Visibility: public Uploaded 23-04-2014 by Jan van Rijn
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  • OpenML-Reg19 study_130 study_239
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Author: Source: Unknown - Please cite: This is a dataset obtained from the StatLib repository. Here is the included description: The data provided are daily stock prices from January 1988 through October 1991, for ten aerospace companies. Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Original source: StatLib repository. Characteristics: 950 cases, 10 continuous attributes

10 features

company10 (target)numeric203 unique values
0 missing
company1numeric415 unique values
0 missing
company2numeric271 unique values
0 missing
company3numeric94 unique values
0 missing
company4numeric186 unique values
0 missing
company5numeric373 unique values
0 missing
company6numeric153 unique values
0 missing
company7numeric203 unique values
0 missing
company8numeric99 unique values
0 missing
company9numeric155 unique values
0 missing

19 properties

950
Number of instances (rows) of the dataset.
10
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
10
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of instances having missing values.
0.47
Average class difference between consecutive instances.
0
Percentage of missing values.
0.01
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.

14 tasks

5 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: company10
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: company10
0 runs - estimation_procedure: 33% Holdout set - target_feature: company10
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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