automobile: Data concerning automobile prices.
In bartMachine: Bayesian Additive Regression Trees
automobile R Documentation
Data concerning automobile prices.
Description
The automobile data frame has 201 rows and 25 columns and
concerns automobiles in the 1985 Auto Imports Database. The response
variable, price, is the log selling price of the automobile. There
are 7 categorical predictors and 17 continuous / integer predictors which
are features of the automobiles. 41 automobiles have missing data in one
or more of the feature entries. This dataset is true to the original except
with a few of the predictors dropped.
Usage
data(automobile)
Source
K Bache and M Lichman. UCI machine learning repository, 2013.
http://archive.ics.uci.edu/ml/datasets/Automobile
bartMachine documentation built on July 9, 2023, 5:59 p.m.
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| automobile | R Documentation |
Data concerning automobile prices.
Description
The automobile data frame has 201 rows and 25 columns and
concerns automobiles in the 1985 Auto Imports Database. The response
variable, price, is the log selling price of the automobile. There
are 7 categorical predictors and 17 continuous / integer predictors which
are features of the automobiles. 41 automobiles have missing data in one
or more of the feature entries. This dataset is true to the original except
with a few of the predictors dropped.
Usage
data(automobile)
Source
K Bache and M Lichman. UCI machine learning repository, 2013. http://archive.ics.uci.edu/ml/datasets/Automobile
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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