Round UUID: ff4111bf-919d-4a08-bc88-cba0a430b092
Prompt:
### Decision Rules for Prediction ### Use the following rules to predict Failure or Success based on the entity data: 1. If `Histogen_Complex` is 'Beta' and `TcQ_mass` > 50,000, predict Failure. 2. If `Treatment_Months` < 50 and `TcQ_mass` <= 10,000, predict Failure. 3. If `Histogen_Complex` is 'Delta' or 'Omicron', and `Genetic_Class_A_Matches` = 1 and `Genetic_Class_B_Matches` = 1: a. Predict Success if `Treatment_Months` >= 100 and `TcQ_mass` < 12,000. b. Predict Failure if `Treatment_Months` < 100 and `TcQ_mass` < 12,000. c. Predict Failure if `TcQ_mass` >= 12,000. 4. For `Cohort = 'Delhi'`: a. Predict Success if `TcQ_mass` > 200,000 regardless of other parameters. b. Predict Failure if `TcQ_mass` <= 200,000 and `Treatment_Months` < 20. 5. If `Sex` is 'female', `Treatment_Months` > 100, and `TcQ_mass` is between 20,000 and 40,000: a. Predict Failure unless `Histogen_Complex` is 'Beta' or `TcQ_mass` > 35,000. 6. Any entries where `Genetic_Class_A_Matches` >= 2 and `Genetic_Class_B_Matches` >= 2: - Predict Success if `Histogen_Complex` = 'Beta', 'Delta', or 'Omicron', and `TcQ_mass` > 15,000. 7. Any entries that do not meet these specific rules can default to Failure. ### Additional Notes ### - Incrementally apply rules based on priority (e.g., Rule 4 supersedes other rules in the same Cohort). - For any ambiguities, lean towards Failure to minimize false positives.