AdaBoost

About this app

Decision stumps trained one after another on weighted data: mistakes grow, the next stump targets them, vote weight α per round, the ensemble's exact staircase boundary, train and test error over up to 60 rounds.

Subject: Machine Learning

More from Machine Learning

• Anatomy of a prompt
• Data privacy traffic lights
• Decision Tree
• Ensemble: Bagging vs. Boosting
• k-Means
• k-Nearest Neighbors (kNN)
• AI theatre
• AI timeline

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