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It's pretty different; sites like Kaggle focus on algorithmic approaches to data prediction. There's one winner for each contest; the person who applies the be
by balakk 14y ago
It's pretty different; sites like Kaggle focus on algorithmic approaches to data prediction. There's one winner for each contest; the person who applies the best algorithm and model wins.
- iandanforth 14y agoI think the parent was asking for a comparison of Random Forests to Wisdom of the Crowds, which isn't a totally bad comparison. With every ensemble technique there has to be a way to deal with the many votes from your ensemble. You could average their answers (as the anecdote in the WoC wikipedia article does) or use a first-past-the-post voting scheme, or use the historical success of a subset of models to pick which models should be listened to. So yes, there are similarities, but the specifics are quite tricky :)
- jph00 14y agoThat's a very insightful connection you've made. Both approaches can be considered "ensembles of weak learners". However the wisdom of the crowds is more likely to suffer from systematic bias, which can be a drawback of that approach.