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KEEL-dataset - data set description
dataset/images/autoMPG6.jpg



This section describes main characteristics of the autoMPG6 data set and its attributes:

General information

Auto MPG (6 variables) data set
TypeRegressionOriginReal world
Features 5(Real / Integer / Nominal)(2 / 3 / 0)
Instances392Missing values?No

Attribute description

AttributeDomain
Displacement[68.0,455.0]
Horse_power[46,230]
Weight[1613,5140]
Acceleration[8.0,24.8]
Model_year[70,82]
Mpg[9.0,46.6]

Additional information

The data concerns city-cycle fuel consumption in miles per gallon (Mpg), to be predicted in terms of 1 multivalued discrete and 5 continuous attributes (two multivalued discrete attributes (Cylinders and Origin) from the original dataset (autoMPG6) are removed).

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, 6 of the original instances were removed because they had unknown values for the Mpg attribute.




In this section you can download some files related to the autoMPG6 data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Auto+MPG.


 
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