Draw the probability table for each node in the network. P(Mileage=Hi) = 0.5 P(Air Cond=Working) = 0.625 P(Engine=Good|Mileage=Hi) = 0.5 P(Engine=Good|Mileage=Lo) = 0.75

Figure 5.3 illustrates the Bayesian belief network for the data set shown in

Table 5.3. (Assume that all the attributes are binary).

P(Value=High|Engine=Good, Air Cond=Working) = 0.750

P(Value=High|Engine=Good, Air Cond=Broken) = 0.667

P(Value=High|Engine=Bad, Air Cond=Working) = 0.222

P(Value=High|Engine=Bad, Air Cond=Broken) = 0