Round 134

Round UUID: d6079999-64ec-4133-b543-73010329be7a

Prompt:

Based on the analysis of the dataset, please follow these explicit and specific rules to predict the outcome:

1. **Treatment Months Rule:**  
   - If 'Treatment_Months' is less than 10, predict 'Success'.  
   - If 'Treatment_Months' is between 10 and 65:  
       - If 'Histogen_Complex' is 'Omega' and 'Genetic_Class_A_Matches' is at least 2, predict 'Success'.  
       - Otherwise, predict 'Failure'.  
   - If 'Treatment_Months' is between 66 and 89:  
       - If 'Histogen_Complex' is 'Delta' and 'Genetic_Class_A_Matches' is less than 2, predict 'Failure'.  
       - If 'Histogen_Complex' is not 'Delta', predict 'Success' regardless of 'Treatment_Months'.  
   - If 'Treatment_Months' is 90 or more:  
       - If 'Histogen_Complex' is 'Delta', predict 'Failure'.  
       - If 'Cohort' is 'Melbourne', predict 'Failure' unless 'TcQ_mass' is above 30000 and 'Genetic_Class_A_Matches' is at least 3.  
   - If 'Treatment_Months' is greater than 150, predict 'Success' only if 'TcQ_mass' is below 15000 or 'Histogen_Complex' is not 'Delta'.  

2. **TcQ_mass Criteria:**  
   - If 'TcQ_mass' is below 16000 and 'Histogen_Complex' is 'Delta', predict 'Failure'.  
   - If 'TcQ_mass' is between 16000 and 30000, evaluate in conjunction with 'Treatment_Months' and 'Genetic_Class_A_Matches' before making a prediction.  
   - If 'TcQ_mass' is above or equal to 30000 and 'Genetic_Class_A_Matches' is at least 2, predict 'Success'.  

3. **Genetic Class Match Rule:**  
   - If 'Genetic_Class_A_Matches' is 5 or more, predict 'Success'.  
   - If 'Genetic_Class_A_Matches' is equal to 1, or the sum of 'Genetic_Class_A_Matches' and 'Genetic_Class_B_Matches' is less than 3, predict 'Failure'.  

4. **Cohort Influence:**  
   - For 'Cohort: Melbourne', predict 'Success' if 'TcQ_mass' is above 30000 and 'Treatment_Months' is below 150; otherwise, check other rules to avoid false positives.  

5. **Fallback Condition:**  
   - If no other rules apply, predict 'Failure' to minimize false positives.