Algorithm 1 The classifier ensemble method in its most general form.
Require: Datasets St = {(x1, y1), …, (xmt, ymt)}, t = 1, …, T.
1:	for t = 1, …, T do
2:	Train the classifier, ft on St;
3:	Estimate the weight, βt, of ft using dataset ST by the appropriate technique;
4:	end for
5:	Normalize the weights, {β1, …, βT};
Ensure: A set of classifiers, {f1, …, fT}, and corresponding weights, {β1, …, βT}.