Round UUID: ad00108c-1d47-48fa-be67-9c8720076e45
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, 4-6 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. Use the following scoring system: * **Reef Integrity Score:** Excellent (2), Good (1), Moderate (-1), Poor (-3) * **Acoustic Intensity:** Scale linearly: Values < 50 (2), 50-100 (1), 100-200 (-1), >200 (-3) * **Algal Coverage:** Minimal (2), Moderate (0), Extensive (-2) * **Pollution Level:** Low (2), Moderate (0), High (-3) * **Coral Age:** Values > 30 (1), 20-30 (0), <20 (-1) * **Monitoring Duration:** >6 years (2), 4-6 years (1), 1-3 years (-1), <1 year (-3) * **Predator Level:** None (2), Low (1), Moderate (-1), Moderate High (-2) * **Invasive Species:** No (2), Yes (-2) Calculate the total score by summing the scores for each feature. * **Prediction:** If the total score is >= 0, predict 'Healthy'. If the total score is < 0, predict 'Stressed'. Also, provide a brief explanation of how the total score is calculated and how it determines the final prediction (Stressed or Healthy).