AdaboostM1
Adaboost or the adaptive boosting is an ensemble method
that tries to improve classification accuracy of any learning
algorithm that consistently creates classifiers whose accuracy
is better than random guessing [16]. AdaboostM1 algorithm
is shown in Figure 3.