stock: Data on stock prices of aerospace companies

In diversityForest: Innovative Complex Split Procedures in Random Forests Through Candidate Split Sampling

Data on stock prices of aerospace companies

Description

This data set contains 950 daily stock prices from January 1988 through October 1991, for ten aerospace companies. The names of the companies are anonymised and the stock prices for one of these companies (company10) were flagged as the outcome variable. Thus, for this data set, both the outcome and the covariates were metric.

Format

A data frame with 950 observations, nine covariates and one metric outcome variable

Details

The variables are as follows: covariates: company1, ..., company9, outcome variable: company10.

Source

OpenML: data.name: stock, data.id: 223, link: https://www.openml.org/d/223/

References

• Vanschoren, J., van Rijn, J. N., Bischl, B., Torgo, L. (2013). OpenML: networked science in machine learning. SIGKDD Explorations 15(2):49-60, <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1145/2641190.2641198")}>.

Examples

## Load data:
data(stock)

## Dimension of data:
dim(stock)

## First rows of data:
head(stock) 

diversityForest documentation built on June 8, 2025, 1:23 p.m.