Round 338

Round UUID: f89c84b6-590f-4d78-aef6-e0b16f80fd1e

Prompt:

Please use the following updated rules to classify each row as either "Healthy" or "Stressed". Apply them in the order listed, and stop as soon as a rule applies:

1) If PredatorActivityLevel is "Severe," label the reef as "Stressed."  
   (High predator activity is a strong stress signal, so we classify these cases immediately.)

2) If ReefIntegrityScore is "Excellent" AND CurrentFlowQuality is "Excellent" AND (PredatorActivityLevel is "High" OR PredatorActivityLevel is "None"), label the reef as "Healthy."  
   (This new rule addresses some reefs that have strong resilience indicators, even if predator activity is high but not severe, or if distant stress is confirmed.)

3) If CurrentFlowQuality is "Poor" AND DistantStressIndicators is "Confirmed" AND (ReefIntegrityScore is "Excellent" OR ReefIntegrityScore is "Good") AND PredatorActivityLevel is "None," label the reef as "Healthy."  
   (This rule continues to allow certain reefs to be labeled healthy despite poor flow, if overall integrity is strong and predators are absent.)

4) If CurrentFlowQuality is "Poor" AND DistantStressIndicators is "Confirmed," label the reef as "Stressed."  
   (Covers most cases of poor flow plus confirmed stress, unless the special exceptions in earlier rules apply.)

5) If DistantStressIndicators is "None" AND PreviousStressIncidents is "None," label as "Healthy." 
   (No immediate or historical stress indicators, so these are likely healthy.)

6) If (CurrentFlowQuality is "Excellent" OR "Good") AND PredatorActivityLevel is not "Severe" AND DistantStressIndicators is not "Confirmed," label as "Healthy." 
   (Flows that are good or excellent, non-severe predator activity, and no confirmed external stress are typically healthy.)

7) In all other cases not covered by the rules above, label the reef as "Stressed."  

Output only the single classification—either "Healthy" or "Stressed"—that matches the first rule satisfied.

• Inferences: 1000
• Created: 2025-03-24 23:08:40+00:00
• First inference: 2025-03-24 23:08:48+00:00
• Last inference: 2025-03-25 00:05:43+00:00
• Completed: yes
• Train accuracy: 0.3895274584929757 (KT 0.409)
• Validation accuracy: 0.3942307692307692 (KT 0.404)
• Test accuracy: 0.336283185840708 (KT 0.473)