# auto_mpg

##### Auto MPG Data Set

This dataset was taken from the UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/Auto+MPG, and processed for the semi-supervised setting (Ryan and Culp, 2015).

- Keywords
- datasets

##### Usage

`data("auto_mpg")`

##### Details

This dataset is a slightly modified version of the dataset provided in the StatLib library. In line with the use by Ross Quinlan (1993) in predicting the attribute "mpg", 8 of the original instances were removed because they had unknown values for the "mpg" attribute. "The data concerns city-cycle fuel consumption in miles per gallon, to be predicted in terms of 3 multivalued discrete and 5 continuous attributes." (Quinlan, 1993)

##### Format

There are two lists that contain partitions from a data frame with 398 observations on the following 9 variables.

`mpg`

a numeric vector

`cylinders`

an ordered factor with levels

`3`

<`4`

<`5`

<`6`

<`8`

`displacement`

a numeric vector

`horsepower`

a numeric vector

`weight`

a numeric vector

`acceleration`

a numeric vector

`year`

a numeric vector

`origin`

a factor

##### References

Ryan, K. J., & Culp, M. V. (2015). On semi-supervised linear regression in covariate shift problems. *The Journal of Machine Learning Research, 16*(1), 3183-3217.

##### Examples

```
# NOT RUN {
data(auto_mpg)
head(auto_mpg$P1$xL)
# }
```

*Documentation reproduced from package s2net, version 1.0, License: GPL (>= 2)*