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You are given a classification dataset with 1 0 0 instances, which has been partitioned into two subsets, a dataset A with 5 0 instances
You are given a classification dataset with instances, which has been
partitioned into two subsets, a dataset A with instances and a dataset B
with instances. Dataset A is used for training and dataset B is used for
testing. You are supposed to compare two classification models: Model
which is an unpruned decision tree, and Model which is a pruned version of
the decision tree. The accuracy of the two classification models on datasets
A and B are shown in the table below.
Classification Dataset A Dataset B
Accuracy
Model
Model
a Based on the accuracies shown in the table above, which classification model would you expect to have better performance on unseen
instances? Support your answer with a brief explanation.
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