Question: Question 13. The table shows the Car Theft data set consisting of 16 instances. Each car has four attributes namely Colour, Type, Origin and Drive

Question 13. The table shows the Car Theft data set consisting

Question 13. The table shows the Car Theft data set consisting of 16 instances. Each car has four attributes namely Colour, Type, Origin and Drive and a class attribute Stolen. These attributes of the car classifies whether the car is stolen. Use Nave Bayesian classification to predict the class of the last data point. Perform any necessary adjustments to the data in your evaluation. [14 marks]. Car Theft Data Stolen No No Colour Red Red Red Red Red Red Red Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Yellow Type Sports SUV Sports SUV Sports Sports SUV Sports SUV SUV SUV Sports Sports Sports Sports Sports Origin Domestic Imported Imported Imported Domestic Domestic Domestic Domestic Imported Imported Domestic Domestic Domestic Domestic Imported Imported Drive Auto Manual Manual Auto Auto Auto Auto Manual Manual Manual Auto Manual Manual Manual Auto Auto No No Yes Yes Yes No No No No No No No Yes Yes Red Sports Domestic Auto

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