YZ Sözlüğü
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Voting Aggregation
Aggregation method for classification problems where the final prediction is the class most frequently voted by the ensemble models.
Regressor Bagging
Application of bagging to regression models, where final predictions are obtained by calculating the average of the outputs of individual regressors.
Classifier Bagging
Application of bagging to classification models, where the final prediction is determined by a majority vote among the ensemble classifiers.
Bagging Parallelization
Ability of bagging to train its base models independently and simultaneously, offering significant performance gains on multi-core architectures.
Random Subsampling
Technique of selecting a random subset of observations for each base estimator in an ensemble, which can be with or without replacement.
Bias-Variance in Bagging
Bagging primarily reduces variance without significantly affecting bias, by averaging low-bias but high-variance models.