Questions tagged [bagging]

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Difference Bagging and Bootstrap aggregating

Bootstrap belongs to Efron. Tibshirani wrote a book about that in reference to Efron. Bootstrap process for estimating the standard error of statistic s(x). B bootstrap sample are generatied from ...
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1answer
27 views

How does bagging help reduce the variance

I learned that bagging helps reduce variance by averaging but I couldn't understand this. Can someone explain this intuitively?
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21 views

Can bagging ensemble consist of heterogeneous base models?

Bagging or bootstrap aggregation seems to make sense for time series forecasting using an ensemble because bagging randomizes subsets of the data with replacement. However, I've only seen bagging used ...
2
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1answer
34 views

Random Forest Stacking Experiment for Imbalanced Data-set Problem

In order to solve a Imbalanced Dataset Problem, I experimented with Random Forest in the given manner (Somewhat inspired by Deep-Learning) Trained a Random Forest which will take in the input data ...
2
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1answer
40 views

Bagging vs pasting in ensemble learning

This is a citation from "Hands-on machine learning with Scikit-Learn, Keras and TensorFlow" by Aurelien Geron: "Bootstrapping introduces a bit more diversity in the subsets that each predictor is ...
6
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1answer
297 views

Boosting with highly correlated features

I have a conceptual question. My understanding is, that Random Forest can be applied even when features are (highly) correlated. This is because with bagging, the influence of few highly correlated ...