- "Predict the auction sale price for a piece of heavy equipment to create a "blue book" for bulldozers". The goal is to try and obtain a better RMSLE compared to the best score obtained at in the Kaggle Competition.
- Validation RMSLE obtained:
0.21163, Validation R^2':0.90759 - Best Kaggle RMSLE:
0.22909
For Dataset Description see Kaggle's Blue Book for Bulldozers. The data for this competition is split into three parts:
- Train.csv is the training set, which contains data through the end of 2011.
- Valid.csv is the validation set, which contains data from January 1, 2012 - April 30, 2012 You make predictions on this set throughout the majority of the competition. Your score on this set is used to create the public leaderboard.
- Test.csv is the test set, which won't be released until the last week of the competition. It contains data from May 1, 2012 - November 2012. Your score on the test set determines your final rank for the competition
"The evaluation metric for this competition is the RMSLE (root mean squared log error) between the actual and predicted auction prices." See Evaluation on Kaggle.