Failing small: StackOverflow Machine Learning Competition

Last August every programmers’ faviorite site, StackExchange, announced a machine learning contest on Kaggle. The task was defined as:

…to find an algorithm that predicts whether (and for what reason) a question will be closed. The idea is simple: we’ve prepared a dataset with all the questions on Stack Overflow, including everything we knew about them right before they were posted, and whether they finally ended up closed or not.  You grab the data, build your brilliant classifier, run it against some leaderboard data and submit your results.  Rinse and repeat until the contest ends, when we’ll grab the most promising classifiers and run them against fresh data to choose winners.

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