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| KEEL-dataset - data set description |
This section describes main characteristics of the autoMPG6 data set and its attributes:
General information
| Auto MPG (6 variables) data set | |||
|---|---|---|---|
| Type | Regression | Origin | Real world |
| Features | 5 | (Real / Integer / Nominal) | (2 / 3 / 0) |
| Instances | 392 | Missing values? | No |
Attribute description
| Attribute | Domain |
|---|---|
| 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
here
. - A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here
. - 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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