Monday, February 12, 2018

A Data-Driven Strategy Guide for Through the Ages, Part 0

Through the Ages (TtA) is a multi-player, deep strategy game with partially hidden information and variable background. All these properties make it hard to learn strategic lessons from statistical analysis.

I scraped 30k+ game data from boardgaming-online.  I use Support Vector Machine to predict the result of a game up to 70% accuracy, and the skills of a player up to 60% accuracy (out-of-sample performance).
Together with these predictions, we can learn important strategic lessons about which aspects are more important during different stages of a game.
We can also learn which specific cards are helpful or harmful to your strategy.
Read more here......

Also, I found a way to remove player skill bias and strategic misconceptions from the data. You can read about that here.

1 comment:

  1. Great Analysis of TtA! I also want to do the similar jobs but no way efficiently get the raw data from BGO. I also checked the files you put on the BGG, it's already not an raw data, could you share the raw data files?

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