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Problem 2: Vehicles Characteristics Fuel Num Make Туре Efficiency Horsepower Seats Price Class Sample (Nominal) (Nominal) (Continuous) (Continuous) (Ordinal) (Continuous) (Target 1 Toyota Sedan 30.5 150 5 25000 Family 2 Ford Truck 18.2 300 3 35000 Utility 3 Honda SUV 25.8 180 7 28000 Family 4 Mercedes Coupe 22.0 400 2 75000 Sport 5 Nissan Hatchback 35.5 120 4 20000 Compa 6 Chevrolet Sedan 28.0 160 5 27000 Family 7 Volkswagen SUV 23.5 200 6 32000 Family 8 BMW Coupe 20.1 350 2 70000 Sport 9 Subaru Wagon 31.2 130 5 23000 Family 10 Hyundai Hatchback 29.8 110 4 19000 Compa 1. Rule-Based Classification: Create rules to classify vehicles into different classes based on attributes like Make, Type, Fuel Efficiency, Horsepower, Num Seats, and Price. 2. Rule Interpretation: Interpret the created rules. Explain the conditions under which a vehicle is classified into a specific class. 3. Rule Modification: Modify one of the rules to observe how it affects the classification. Explain the impact of the modification. 4. Rule Confidence: Assign confidence levels to the rules. For example, how confident are you in classifying a vehicle as "Sport" based on the rules? 5. Rule Expansion: Add a new rule to your rule-based system. Explain how this new rule contributes to the classification decisions. 6. Rule Visualization: Visualize your rule-based system in a decision tree format. Each rule should correspond to a branch in the decision tree. 7. Rule Application: Apply your rule-based system to the following instance: 8. Make: Toyota, Type: Sedan, Fuel Efficiency: 28.0, Horsepower: 160, Num Seats: 5, Price: 27000 9. Rule Refinement: Refine one of the rules to make it more specific or general. Explain the reasoning behind the refinement. 10. Rule Generalization: Generalize one of the rules to make it more applicable to a broader set of vehicles. Explain the reasoning behind the generalization.

Problem 2: Vehicles Characteristics Fuel Num Make Туре Efficiency Horsepower Seats Price Class Sample (Nominal) (Nominal) (Continuous) (Continuous) (Ordinal) (Continuous) (Target 1 Toyota Sedan 30.5 150 5 25000 Family 2 Ford Truck 18.2 300 3 35000 Utility 3 Honda SUV 25.8 180 7 28000 Family 4 Mercedes Coupe 22.0 400 2 75000 Sport 5 Nissan Hatchback 35.5 120 4 20000 Compa 6 Chevrolet Sedan 28.0 160 5 27000 Family 7 Volkswagen SUV 23.5 200 6 32000 Family 8 BMW Coupe 20.1 350 2 70000 Sport 9 Subaru Wagon 31.2 130 5 23000 Family 10 Hyundai Hatchback 29.8 110 4 19000 Compa 1. Rule-Based Classification: Create rules to classify vehicles into different classes based on attributes like Make, Type, Fuel Efficiency, Horsepower, Num Seats, and Price. 2. Rule Interpretation: Interpret the created rules. Explain the conditions under which a vehicle is classified into a specific class. 3. Rule Modification: Modify one of the rules to observe how it affects the classification. Explain the impact of the modification. 4. Rule Confidence: Assign confidence levels to the rules. For example, how confident are you in classifying a vehicle as "Sport" based on the rules? 5. Rule Expansion: Add a new rule to your rule-based system. Explain how this new rule contributes to the classification decisions. 6. Rule Visualization: Visualize your rule-based system in a decision tree format. Each rule should correspond to a branch in the decision tree. 7. Rule Application: Apply your rule-based system to the following instance: 8. Make: Toyota, Type: Sedan, Fuel Efficiency: 28.0, Horsepower: 160, Num Seats: 5, Price: 27000 9. Rule Refinement: Refine one of the rules to make it more specific or general. Explain the reasoning behind the refinement. 10. Rule Generalization: Generalize one of the rules to make it more applicable to a broader set of vehicles. Explain the reasoning behind the generalization.

Database Systems: Design, Implementation, & Management
Database Systems: Design, Implementation, & Management
12th Edition
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Carlos Coronel, Steven Morris
Chapter2: Data Models
Section: Chapter Questions
Problem 12P
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Rule-based problem

Problem 2: Vehicles Characteristics Fuel Num Make Туре Efficiency Horsepower Seats Price Class Sample (Nominal) (Nominal) (Continuous) (Continuous) (Ordinal) (Continuous) (Target 1 Toyota Sedan 30.5 150 5 25000 Family 2 Ford Truck 18.2 300 3 35000 Utility 3 Honda SUV 25.8 180 7 28000 Family 4 Mercedes Coupe 22.0 400 2 75000 Sport 5 Nissan Hatchback 35.5 120 4 20000 Compa 6 Chevrolet Sedan 28.0 160 5 27000 Family 7 Volkswagen SUV 23.5 200 6 32000 Family 8 BMW Coupe 20.1 350 2 70000 Sport 9 Subaru Wagon 31.2 130 5 23000 Family 10 Hyundai Hatchback 29.8 110 4 19000 Compa 1. Rule-Based Classification: Create rules to classify vehicles into different classes based on attributes like Make, Type, Fuel Efficiency, Horsepower, Num Seats, and Price. 2. Rule Interpretation: Interpret the created rules. Explain the conditions under which a vehicle is classified into a specific class. 3. Rule Modification: Modify one of the rules to observe how it affects the classification. Explain the impact of the modification. 4. Rule Confidence: Assign confidence levels to the rules. For example, how confident are you in classifying a vehicle as "Sport" based on the rules? 5. Rule Expansion: Add a new rule to your rule-based system. Explain how this new rule contributes to the classification decisions. 6. Rule Visualization: Visualize your rule-based system in a decision tree format. Each rule should correspond to a branch in the decision tree. 7. Rule Application: Apply your rule-based system to the following instance: 8. Make: Toyota, Type: Sedan, Fuel Efficiency: 28.0, Horsepower: 160, Num Seats: 5, Price: 27000 9. Rule Refinement: Refine one of the rules to make it more specific or general. Explain the reasoning behind the refinement. 10. Rule Generalization: Generalize one of the rules to make it more applicable to a broader set of vehicles. Explain the reasoning behind the generalization.
Transcribed Image Text:Problem 2: Vehicles Characteristics Fuel Num Make Туре Efficiency Horsepower Seats Price Class Sample (Nominal) (Nominal) (Continuous) (Continuous) (Ordinal) (Continuous) (Target 1 Toyota Sedan 30.5 150 5 25000 Family 2 Ford Truck 18.2 300 3 35000 Utility 3 Honda SUV 25.8 180 7 28000 Family 4 Mercedes Coupe 22.0 400 2 75000 Sport 5 Nissan Hatchback 35.5 120 4 20000 Compa 6 Chevrolet Sedan 28.0 160 5 27000 Family 7 Volkswagen SUV 23.5 200 6 32000 Family 8 BMW Coupe 20.1 350 2 70000 Sport 9 Subaru Wagon 31.2 130 5 23000 Family 10 Hyundai Hatchback 29.8 110 4 19000 Compa 1. Rule-Based Classification: Create rules to classify vehicles into different classes based on attributes like Make, Type, Fuel Efficiency, Horsepower, Num Seats, and Price. 2. Rule Interpretation: Interpret the created rules. Explain the conditions under which a vehicle is classified into a specific class. 3. Rule Modification: Modify one of the rules to observe how it affects the classification. Explain the impact of the modification. 4. Rule Confidence: Assign confidence levels to the rules. For example, how confident are you in classifying a vehicle as "Sport" based on the rules? 5. Rule Expansion: Add a new rule to your rule-based system. Explain how this new rule contributes to the classification decisions. 6. Rule Visualization: Visualize your rule-based system in a decision tree format. Each rule should correspond to a branch in the decision tree. 7. Rule Application: Apply your rule-based system to the following instance: 8. Make: Toyota, Type: Sedan, Fuel Efficiency: 28.0, Horsepower: 160, Num Seats: 5, Price: 27000 9. Rule Refinement: Refine one of the rules to make it more specific or general. Explain the reasoning behind the refinement. 10. Rule Generalization: Generalize one of the rules to make it more applicable to a broader set of vehicles. Explain the reasoning behind the generalization.
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