Ensemble of XGBoost models to build a solution for DrivenData.com's Pump it Up: Data Mining the Water Table competion
Matt Brown
email: matthew.brown.iowa@gmail.com
Location: Washington, DC
Website: www.DrivenData.org
Competition: Pump it Up: Data Mining the Water Table
Solution is 9th out of 2017 participants
Software Tools: XGBoost package in R
Brief Model Description: Ensemble of 11 XGBoost models with equal weight to each solution
Feature Selection The original data set contained 40 variables. I reduced it down to 26 variables by removing variables that were similar/duplicates of other variables.