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- Bootstrap_aggregating abstract "Bootstrap aggregating, also called bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting. Although it is usually applied to decision tree methods, it can be used with any type of method. Bagging is a special case of the model averaging approach.".
- Bootstrap_aggregating thumbnail Ozone.png?width=300.
- Bootstrap_aggregating wikiPageExternalLink package=adabag.
- Bootstrap_aggregating wikiPageID "1307911".
- Bootstrap_aggregating wikiPageRevisionID "606136081".
- Bootstrap_aggregating hasPhotoCollection Bootstrap_aggregating.
- Bootstrap_aggregating subject Category:Computational_statistics.
- Bootstrap_aggregating subject Category:Ensemble_learning.
- Bootstrap_aggregating subject Category:Machine_learning_algorithms.
- Bootstrap_aggregating comment "Bootstrap aggregating, also called bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting. Although it is usually applied to decision tree methods, it can be used with any type of method. Bagging is a special case of the model averaging approach.".
- Bootstrap_aggregating label "Bagging".
- Bootstrap_aggregating label "Bootstrap aggregating".
- Bootstrap_aggregating label "バギング".
- Bootstrap_aggregating sameAs Bagging.
- Bootstrap_aggregating sameAs バギング.
- Bootstrap_aggregating sameAs m.04rq3z.
- Bootstrap_aggregating sameAs Q799897.
- Bootstrap_aggregating sameAs Q799897.
- Bootstrap_aggregating wasDerivedFrom Bootstrap_aggregating?oldid=606136081.
- Bootstrap_aggregating depiction Ozone.png.
- Bootstrap_aggregating isPrimaryTopicOf Bootstrap_aggregating.
