Auto MPG

Donated on 7/6/1993

Revised from CMU StatLib library, data concerns city-cycle fuel consumption

Dataset Characteristics

Multivariate

Subject Area

Other

Associated Tasks

Regression

Feature Type

Real, Categorical, Integer

# Instances

398

# Features

7

Dataset Information

Additional Information

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". "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)

Has Missing Values?

Yes

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
displacementFeatureContinuousno
mpgTargetContinuousno
cylindersFeatureIntegerno
horsepowerFeatureContinuousyes
weightFeatureContinuousno
accelerationFeatureContinuousno
model_yearFeatureIntegerno
originFeatureIntegerno
car_nameIDCategoricalno

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Additional Variable Information

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)

Baseline Model Performance

Dataset Files

FileSize
auto-mpg.data-original31.4 KB
auto-mpg.data29.6 KB
auto-mpg.names1.6 KB
Index161 Bytes

Papers Citing this Dataset

Splitting on categorical predictors in random forests

By Marvin Wright, Inke König. 2019

Published in PeerJ.

Ensemble Neural Networks (ENN): A gradient-free stochastic method

By Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang. 2019

Published in Neural Networks, 110, 170-185 (2019).

Visual Backpropagation

By Roy Freedman. 2019

Published in ArXiv.

Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees

By Varun Ojha, Vaclav Snasel, Ajith Abraham. 2017

Published in IEEE Transactions on Fuzzy Systems 2017.

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15 citations
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Keywords

Creators

R. Quinlan

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