AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease

Algorithm 2

Pseudocode of AdaBoost classifier.

	Input required: TDS: Training Dataset TDS =  labels Y
	It: Iteration Number
	Steps a to h
(a)	Assign TDS sample , … (, ); X, {−1, +1}
(b)	Initialize weights of  = 1/M, i = 1, …, M
(c)	for It = 1, ... , T
(d)	Train the learner that is weak using distribution
(e)	Get hypothesis of weak : X ⟶ {−1, +1} along with its error =
(f)	Update distribution :
(g)	Next It that, It + 1
(h)	Final hypothesis Outputs: (x)]