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--- |
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license: apache-2.0 |
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task_categories: |
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- tabular-classification |
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- tabular-regression |
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language: |
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- en |
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tags: |
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- scikit-learn |
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pretty_name: auto-mpg |
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--- |
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## Auto Miles per Gallon (MPG) Dataset |
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Following description was taken from [UCI machine learning repository](https://archive.ics.uci.edu/ml/datasets/auto+mpg). |
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Source: 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. |
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## Data Set Information: |
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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 original dataset is available in the file "auto-mpg.data-original". |
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"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) |
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## Attribute Information: |
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- mpg: continuous |
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- cylinders: multi-valued discrete |
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- displacement: continuous |
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- horsepower: continuous |
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- weight: continuous |
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- acceleration: continuous |
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- model year: multi-valued discrete |
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- origin: multi-valued discrete |
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- car name: string (unique for each instance) |