Question: Given the data sets shown in Figure 2 , explain how the decision tree, na ve Bayes ( NB ) , and k - nearest
Given the data sets shown in Figure explain how the decision tree, nave Bayes NB and knearest neighbor kNN classifiers would perform on these data sets istingui Instance Label Class Class B Class A Class B Class Attribute X a Synthetic data set b Synthetic data set Figure : Data sets for Question
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