STAT 627 UCLA Statistics Probability Questions

three questions:

Suppose we produce ten bootstrapped samples from a data setcontaining red and green classes. We then apply a classification tree to each bootstrapped sample and,for a specific value of X, produce 10 estimates of P {Class is Red | X}: 0.1, 0.15, 0.2, 0.2, 0.55, 0.6, 0.6,0.65, 0.7, and 0.75.There are two common ways to combine these results together into a single class prediction. One is themajority vote approach discussed in this chapter. The second approach is to classify based on the averageprobability. In this example, what is the final classification under each of these two approaches?

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