Project: World Cup Datathon

In celebration of the World Cup in Russia, I’ve decided to take on Betfair’s World Cup Datathon. See below my series of posts outlining how I built my models.

This is part of a series of posts on the World Cup Betfair datathon. See the links to others below.

Part 1 - Intro
Part 2 - Data Acquisition
Part 3 - Data Exploration and Feature Engineering
Part 4 - Models (coming soon)
Part 5 - Review (coming soon)

Predictions

The following are my actual predictions, based on each model. I’ll play around with how to present them but you can see them below.

## [1] "CART"                           "NeuralNetwork"                 
## [3] "PenalizedMultinomialRegression" "RandomForest"                  
## [5] "StochasticGradientBoosting"

Neural Net

Multinomal

GBM

Random Forest

CART

Results

I’ll post these after the fact.