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1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017

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LoLFirsts

This is a classifier we wrote for the Predicitve Data Analysis Hackathon in Hannover, 11.11.2017. The goal was to extract something useful from a League of Legends dataset.

We trained a Binary Decision Tree on the big "firsts" of each match:

  • firstBlood
  • firstTower
  • firstInhibitor
  • firstBaron
  • firstDragon
  • firstRiftHerald

Using these, we predict if a team will win the match. The classifier gets to around 87% accuracy on our test split. If we take out the Inhibitor, which appears late into the game, we still get over 70%. Still enough to justify rage quitting, I'd say.

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1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017

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