Ensemble: Bagging vs. Boosting

About this app

Many shallow decision trees combined into one strong model: single tree (jagged staircase), bagging (average out variance → smooth boundary) and boosting (sequentially on hard cases). Interlocking "two moons", accuracy over the number of trees — Random Forest made tangible.

Subject: Machine Learning

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