Want to Win at Kaggle? Pay Attention to Your Ensembles.

@machinelearnbot 

The Kaggle competitions are like formula racing for data science. Winners edge out competitors at the fourth decimal place and like Formula 1 race cars, not many of us would mistake them for daily drivers. The amount of time devoted and the sometimes extreme techniques wouldn't be appropriate in a data science production environment, but like paddle shifters and exotic suspensions, some of those improvement find their way into day-to-day life. Ensembles, or teams of predictive models working together, have been the core strategy for winning at Kaggle. They've been around for a long time but they are getting better.