Predict the auction sale price for a piece of heavy equipment to create a "blue book" for bulldozers.
I participated in the Blue Book for Bulldozers contest, a classic Kaggle contest. The goal of the contest is to predict the selling price of bulldozers at auction based on the use of a specific piece of equipment, equipment type and configuration. The evaluation criterion is the RMSLE (log error) between actual and predicted auction prices.
git clone https://github.com/omrgrcn/bluebook-for-bulldozers
Metric | Score |
---|---|
Train RMSLE | 0.12 |
Test RMSLE | 0.25 |
Train R^2 | 96.67% |
Test R^2 | 88.22% |
If you would like to contribute, please send a pull request or open an issue.
This project is licensed under the MIT Licence. See the LICENSE file for more information.