Questions tagged [stacking]

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kmeans cluster results for use as xgboost feature

I am curious if kmeans clusters can be used as xgboost features, along with the original features? Specifically for features X and labels Y can we: Split into X_train, y_train & X_test, y_test ...
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28 views

How does stacking help Bias and Variance?

How does stacking help in terms of bias and variance? I have a hunch that stacking can help reduce bias but i am not sure, could someone refer to a paper?
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Can stacking algorithms run parallely? If so What kind of algorithms are there? [closed]

The question is regarding stacking ensemble algorithms that is dealing with large amount of datasets, curious if someone knows if there are algorithms that can deal with that parallely, time ...
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32 views

Feature importance difference in two similar machine learning models

Situation 1: I have trained a text classification model (Model 1) which gives me a probability of true class as X. I have also trained a classification model (Model 2) using only the categorical and ...
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12 views

Stacking: How to best treat base learner?

With stacking, several (diverse) base learners are used to predict the dependent variable $\hat{y}_{b,m}=\beta_{b,m} X$ in a hold-out set, where $m$ are base learner models $1,...,n$. These ...
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52 views

What kind of algorithms can be used as a stacker in stacked generalization?

In stacked generalization, several algorithms (I use some random trees, booster trees, etc.) are first trained and used to make the predictions which are used as input for another algorithm. However, ...