How Azure ML Helped Predict the Results of the NCAA "March Madness" Tournament

The Discussion

• 

  Is that experiment publicly available to see?
  Very interesting indeed.

• 

  When I click on an email the first thin I want to know is what it is?
  Azure ML. NCAA. March Madness. Just gobbly gook. What about two lines of explanation of what it is that you are offering. You are not the only ones who live in a small world. I do hope that I am not missing something good?!!

• 

  hola, muy interesantes estos avances, gracias

• 

  @Francesco: Unfortunately, the experiment Damon walk through is not published online.

  @David Blundell: My apologies.  AzureML is Azure Machine Learning, a tool that allows you to perform enterprise-quality machine learning from a browser.  The documentation is at https://azure.microsoft.com/en-us/documentation/services/machine-learning/.  "March Madness" is a college basketball tournament that happens every year in March in the United States.  It is known for having great upsets (a low-ranked team beating a high-ranked team) so it's popular to create a bracket to predict who will win and proceed to the next level of the tournament.  More information at https://en.wikipedia.org/wiki/NCAA_Men%27s_Division_I_Basketball_Championship. 

  @eugenio: Gracias!

• 

  It looked to me that the accuracy of 0.7 was on the training data but on the holdout testing data it was 0.57, slightly better than a coin flip. Or did I miss something?