Decision Trees

Decision: Where to eat dinner? Nodes:

1. Cuisine:
   • Probability: 0.5
     • Italian: 0.3
     • Indian: 0.2
     • Thai: 0.5
2. Price:
   • Probability: 0.6
     • Affordable: 0.7
     • Mid-range: 0.2
     • Expensive: 0.1
3. Atmosphere:
   • Probability: 0.4
     • Casual: 0.6
     • Upscale: 0.4
4. Reviews:
   • Probability: 0.3
     • Good reviews: 0.8
     • Mixed reviews: 0.2

Final Decision: Based on the probabilities assigned to each node, the most likely outcome is an affordable Italian restaurant with a casual atmosphere and good reviews. Thoughts on the Decision Tree and Probabilities: This decision tree provides a basic framework for making a decision about where to eat dinner. However, it is important to note that the probabilities assigned to each node are subjective and may vary depending on individual preferences and circumstances. Some additional factors that could be considered in the decision tree include:

• Dietary restrictions: If you have any dietary restrictions, you may need to limit your options to restaurants that can accommodate your needs.
• Location: The location of the restaurant may also be a factor to consider, depending on your preferences and the distance you are willing to travel.
• Time constraints: If you are short on time, you may need to choose a restaurant that is close by and has quick service.

By adding these additional factors, the decision tree could become more complex and provide a more accurate representation of the decision-making process.  

Sample Solution