AdaBoost: Non-Linear Decision Stumps

Ensemble converges when Total Ensemble Error = 0. Observe how Exp Loss drops monotonically while Error might wiggle.

Round (t)	Axis/Thresh	Weighted Error (\(\epsilon_t\))	Weight (\(\alpha_t\))	Ens. Error	Exp Loss (\(L\))