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In machine learning, ensemble methods combine multiple algorithms to make a prediction. Bagging, boosting and stacking are some examples.

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US Election results 2016: What went wrong with prediction models?

HoraceT and CliffAB (sorry too long for comments) I’m afraid I have a lifetime of examples, which have also taught me that I need to be very careful with their explanation, if I wish to avoid offendin …
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  • 137
11 votes

US Election results 2016: What went wrong with prediction models?

No high ground claimed here. I work in a field (Monitoring and Evaluation) that is as rife with pseudo-science as any other social science you could name. But here's the deal, the polling industry is …
colin's user avatar
  • 137