Suppose we produce ten bootstrap samples from a data set containing HIGH and LOW classes. We then apply a classification tree to each bootstrap sample and, for a specific value of X, produce 10 estimates of P(Class is HIGH|X): 0.1, 0.15,0.2, 0.2, 0.55, 0.6, 0.6, 0.65, 0.70, and 0.72 There are two common ways to combine these results together into a single class prediction. One is the majority vote approach which choose the class label for which the most bootstrapped trees "voted". The second approach is to classify based on the average probability. Which of the following is true? A The final classification under the average probability method is LOW B The final classification under the majority vote method agrees with that under the average probability method in this example. C) The final classification under the majority vote method always agrees with that under the average probability method. D) The final classification under the majority vote method is LOW