Your are trying to build a classifier to figure out which restaurant is best suited for...

   

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Your are trying to build a classifier to figure out which restaurant is best suited for a dinner with your friends. You gathered data about four different restaurants and in particular about the kind of restaurant (fast food or casual dining), their locations (Oakland or Squirrel Hill), and whether they can comply with dietary restrictions (none or vegetarian) and whether you enjoyed them or not. The data is reported in the following table: Type Fast Food Casual Dining Casual Dining Casual Dining Neighborhood Oakland Squirrel Hill Squirrel Hill Oakland Restriction OK Vegetarian No None Vegetarian Yes No None Yes Based on this data, use the greedy learning method to build a decision tree. Predictor selection is determined using information gain. Is this tree optimal (i.e, zero classification error with minimal depth)? If this tree is not optimal, draw the optimal tree. Your are trying to build a classifier to figure out which restaurant is best suited for a dinner with your friends. You gathered data about four different restaurants and in particular about the kind of restaurant (fast food or casual dining), their locations (Oakland or Squirrel Hill), and whether they can comply with dietary restrictions (none or vegetarian) and whether you enjoyed them or not. The data is reported in the following table: Type Fast Food Casual Dining Casual Dining Casual Dining Neighborhood Oakland Squirrel Hill Squirrel Hill Oakland Restriction OK Vegetarian No None Vegetarian Yes No None Yes Based on this data, use the greedy learning method to build a decision tree. Predictor selection is determined using information gain. Is this tree optimal (i.e, zero classification error with minimal depth)? If this tree is not optimal, draw the optimal tree.

Answer rating: 100% (QA)

Answer Here is a way to structure and analyze this data Restaurant Type Location Dietary Restrictions Enjoyed Restaurant A Fast Food Oakland None Yes Restaurant B Casual Dining Squirrel Hill Vegetarian No Restaurant C Fast Food Oakland None Yes Restaurant D Casual Dining Squirrel Hill Vegetarian Yes Based on this data you can perform several analyses or build a classifier using machine learning techniques Descriptive Analysis Start with some basic descriptive statistics For example calculate the frequency of each restaurant type location and dietary restriction ... View the full answer