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Author here: At mux, we experimented using machine learning to predict HQ Trivia answers. We managed to get 80-90% accuracy across a dataset of around 500 quest
by bdod6 9y ago
Author here: At mux, we experimented using machine learning to predict HQ Trivia answers. We managed to get 80-90% accuracy across a dataset of around 500 questions.
The trickiest questions were relational questions (e.g. What's heavier, a pineapple or a Siamese cat?). Would appreciate any feedback on our approach (and happy to answer questions!).
- selectodude 9y agoHow is this different from coding, say, a wall hack in an online FPS?
- bdod6 9y agoThere's a lot less teabagging when we win.
- conanbatt 9y agoTime to bring in the big questions. The tortoise is on its back. And you are not helping it. Why?
- bdod6 9y agoI think anyone playing HQ should be encouraged by our results. I know a lot of people turned off by playing because of all the "bots" playing. Based on our analysis and results from over a hundred games...I think it's clear that bots are not sophisticated enough to solve HQ. We're also using a more sophisticated approach than most bots I've read about, and we continuously train out model on new data. Even so, we would only expect to win 7 out of 100 games. Our goal was not to hurt the HQ community, but rather to challenge ourselves into solving a difficult data science problem.