Round UUID: 6273c4f9-ea76-4449-972f-e96a54f94ee1
Prompt:
Based on the following examples of reef health assessments, create a weighted scoring system to predict whether a reef is 'Stressed' or 'Healthy'. Each feature should be assigned a weight reflecting its importance in determining reef health. The features are: Reef Integrity Score (Excellent, Good, Moderate, Poor), Acoustic Intensity (numerical value), Algal Coverage (Extensive, Moderate, Minimal), Pollution Level (Low, Moderate, High), Coral Age (numerical value), Monitoring Duration ( < 1 year, 1-3 years, > 6 years), Predator Level (None, Low, Moderate, Moderate High), Invasive Species (Yes, No). Explain the reasoning behind the weights assigned to each feature. Here are the examples: [Provide all the examples from the prompt here, formatted for easy parsing. For example, each example should be a dictionary or JSON object with keys corresponding to the features and a 'label' key indicating 'Stressed' or 'Healthy'.] Output the scoring system as a list of rules or a table showing each feature, its possible values, and the corresponding score. Also, provide a brief explanation of how the total score is calculated and how it determines the final prediction (Stressed or Healthy).