data_auto_mpg: Auto MPG Data Set

In s2net: The Generalized Semi-Supervised Elastic-Net

Auto MPG Data Set

Description

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).

Usage

data("auto_mpg")

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

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)

Source

Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml/]. Irvine, CA: University of California, School of Information and Computer Science.

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

data(auto_mpg)
head(auto_mpg$P1$xL)

s2net documentation built on July 1, 2022, 1:06 a.m.