Question

Bayesian ensemble methods for regression

Answer 1

Stacking is an ensemble learningtechnique that combines multiple classification or regressionmodels via a meta-classifier or a meta-regressor. ... It consists of k-NN, Random Forest, and NaiveBayes base classifiers whose predictions are combined by Logistic Regression as a meta-classifier.
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Answer 2

Answer:

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• Stacking is an ensemble learningtechnique that combines multiple classification or regressionmodels via a meta-classifier or a meta-regressor. ... It consists of k-NN, Random Forest, and NaiveBayes base classifiers whose predictions are combined by Logistic Regression as a meta-classifier.