Given the training set (the following table) and X {"youth", "low", "excellent"}, a Nave Bayes classifier is trained based on the given training set, please answer the following questions. Table 3: Training Data Credit rating Class: buys.computer Age senior Income low excellent no senior medium fair no middle aged medium fair yes middle aged low fair yes senior low fair no youth medium excellent yes middle aged high excellent yes youth high fair yes youth low fair yes youth medium fair no 1. (2 points) What is the probability that buys.computer = no (P(no))? 2. (2 points) What is the probability that buys.computer = yes (P(yes))? 3. (2 points) What is the probability, P(X|no)? 1. (2 points) What is the probability P(X|yes)? 5. (2 points) Which class should X belong to?