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Ensemble method, decision tree, random forest and boosting Ensemble method, decision tree, random forest and boosting

Ensemble method, decision tree, random forest and boosting - PowerPoint Presentation

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Uploaded On 2018-11-08

Ensemble method, decision tree, random forest and boosting - PPT Presentation

Zhiqi Peng Key concepts of supervised learning Objective function is training loss measure how well model fit on training data is regularization measures complexity of model   Key concepts of supervised learning ID: 721720

error tree training trees tree error trees training variance random ensemble define classification model bias set boosting split learning

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