Questions tagged [boosting]

For questions related to the concept of boosting in machine learning, which is a collection of ensemble learning methods.

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Why don't ensembling, bagging and boosting help to improve accuracy of Naive bayes classifier?

You might think to apply some classifier combination techniques like ensembling, bagging and boosting but these methods would not help. Actually, “ensembling, boosting, bagging” won’t help since their ...
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3answers
462 views

How do weak learners become strong in boosting?

Boosting refers to a family of algorithms which converts weak learners to strong learners. How does it happen?
2
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1answer
63 views

Tabular Datasets where Deep neural networks outperforms XGBoost

Are there (complex) tabular datasets where deep neural networks (e.g. more than 3 layers) outperform traditional methods such as XGBoost by a large margin? I'd prefer tabular datasets rather than ...
4
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0answers
55 views

Why would the application of boosting prevent underfitting

"Why would the application of boosting prevent underfitting" I read in some paper that applying boosting would prevent you from underfitting. Why is that? Source: http://www.cs.cornell.edu/courses/...