Wherein Kagglers collectively predict the winners of the March Machine Learning Mania prediction contest (and, of course, the outcome of the NCAA Tournament itself).
The tables below were created by simulating the NCAA Tournament 10,000 times at each completed stage of the tournament, using the median Kaggle March Machine Learning Mania 2016 predictions as the true probabilities for all potential matchups.
Selecting a round below displays simulation results as of the start of the corresponding round. Select "Kaggle Results" to display the simulated results of the Kaggle competition, or "Tournament Results" to display the simulated results of the tournament.
This table below shows a summary of the simulation of the Kaggle March Machine Learning Mania 2016 competition, including mean scores, mean ranks, and expected winnings. Click column headers to sort, and use the controls at the top right of the table to search the table and to select columns.
|#||Submission||Mean Score||Best Score||Worst Score||Mean Rank||Best Rank||Worst Rank||Win %||2nd %||3rd %||4th %||5th %||Exp. Winnings|
The table below displays each team's predicted probability of advancing to each round of the tournament. Click column headers to sort.
|Team||Round of 64||Round of 32||Sweet 16||Elite Eight||Final Four||Champ.||Win|