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a ) The data science team constructed two models by using the same training data, namely Model A and Model B . Both of these

a) The data science team constructed two models by using the same training data, namely
Model A and Model B. Both of these models are illustrated below.
Model A uses attributes BMI, Temperature and Age to form the tree. In the leaf nodes, the
number of patients belonging to each class is given. For instance, when BMI category equals to
High and Temperature category is Normal, in the leaf node, 100 patients had a cancer (category
yes) and 150 patients did not have a cancer (category no).
Model B uses attributes BMI, Smoke and Temperature to form the tree. Similarly, in the leaf
nodes, the number of patients belonging to each target variable category is given. For instance,
when BMI category equals to High and Smoke category equals to No, in the leaf node, 60 patients
had a cancer (category yes) and 140 patients did not have a cancer (category no).
Calculate the frequency based estimation probabilities (or target variable class prediction
probabilities) in both of these decision tree models. Use these probabilities as the class
prediction probabilities to predict the class in each leaf (or terminal) node with the threshold
value 0.5. Which model should be used for predicting the pancreatic cancer? Explain your advice.
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