auto_mpg: Auto MPG Data Set

In alecuba16/HDGSOM: High Dimensionality Growing Self-Organizing Maps

Description

"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)

Usage

  data("auto_mpg")

Format

Number of Instances: 398
Number of Attributes: 8

1. mpg: continuous
2. cylinders: multi-valued discrete
3. displacement: continuous
4. horsepower: continuous
5. weight: continuous
6. acceleration: continuous
7. model year: multi-valued discrete
8. origin: multi-valued discrete
9. car name: string (unique for each instance)

Details

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition. Missing values have been removed.

References

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.

Examples

  # load data
  data("auto_mpg")
  
  # show head
  head(auto_mpg)

alecuba16/HDGSOM documentation built on April 11, 2020, 5:06 a.m.