Consider a simple data set shown in figure below, where we have two samples that belong to class -1 and one sample from class +1. y=-1 y=+1 y=-1 We are going to use boosting algorithm to perform classification problem on the given data. We use decision stump for each weak hypothesis h. Recall that, decision stump classifier chooses a constant value c and classifies all points where x > c as one class and other points where x