A small Python program to test the ability to predict car fuel economy (in mpg) given various specifications: {cylinders, displacement, horsepower, weight, acceleration, year, origin}. Currently, standard deviation of prediction (regression) error is around 2.9 mpg.
This is perhaps not useful for modern predictions -- the dataset is for cars built in 1970-1982. Extrapolating too far into the future (as in now) will probably not be too successful. Really, this is just educational.
Dataset source donated to the UCI ML Repository:
- Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
- http://archive.ics.uci.edu/ml/datasets/Auto+MPG