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automobile

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

Bayesian Additive Regression Trees

v1.2.6
GPL-3
Authors
Adam Kapelner and Justin Bleich (R package)
Initial release
2020-12-17

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