Round UUID: 1ecda19c-1480-49b9-a5bb-66f76a35fffb
Prompt:
### Refined Decision Rules for Prediction ###
Use the following refined rules to predict Failure or Success based on the entity data. These rules target edge cases and reduce ambiguity by dynamically linking thresholds:
1. If `Histogen_Complex` is 'Beta':
- Predict Failure if `TcQ_mass` > 50,000 and `Treatment_Months` < 130.
- Predict Success if `TcQ_mass` > 50,000, `Treatment_Months` >= 130, and both `Genetic_Class_A_Matches` >= 3 and `Genetic_Class_B_Matches` >= 3.
- Override to Failure if `Genetic_Class_A_Matches` + `Genetic_Class_B_Matches` < 6, regardless of cohort or other parameters.
2. If `Histogen_Complex` is 'Delta' or 'Omicron':
- Predict Success if `Genetic_Class_A_Matches` + `Genetic_Class_B_Matches` >= 6, `TcQ_mass` > 22,000, and `Treatment_Months` >= 110.
- Predict Failure if `TcQ_mass` > 25,000 and either Genetic_Class threshold is <3 or `Treatment_Months` < 90.
- If `TcQ_mass` is between 20,000 and 25,000:
a. Predict Success if `Treatment_Months` >= 120 and `Genetic_Class_A_Matches` >=3 and `Genetic_Class_B_Matches` >=3.
b. Predict Failure if either `Treatment_Months` < 120 or mutual Genetic_Class thresholds are not met.
3. For cohort='Delhi':
- Predict Success if `TcQ_mass` > 200,000.
- Predict Failure if `TcQ_mass` <= 200,000 or `Genetic_Class_A_Matches` + `Genetic_Class_B_Matches` < 3, or `Treatment_Months` < 60.
4. If `Sex` is 'female':
- Predict Failure if `Treatment_Months` > 120, `TcQ_mass` is between 25,000 and 40,000, and either Genetic threshold is missed.
- Predict Success if `TcQ_mass` > 40,000 and combined Genetic_Class matches are >= 7 unless overridden by Histogen conditions in Rule 1 or 2.
5. Dynamic Override Rules:
- Predict Failure if `Genetic_Class_A_Matches` + `Genetic_Class_B_Matches` < 4, even if other criteria for success are met.
- Predict Success if total Genetic_Class Matches >= 8 and `Treatment_Months` > 100 unless superseded by critical `TcQ_mass` failure triggers.
6. General Catch-All:
- Predict Failure for entries that do not meet any success criteria above specifically defined or if ambiguity arises.
### Implementation Guidelines ###
- Sequentially apply rules in priority order as listed.
- Refine threshold application dynamically based on the sum of Genetic_Class values (`A_Matches` + `B_Matches`) for stricter edge case handling.
- Treat borderline cases conservatively to mitigate false positives while expanding leniency for high `TcQ_mass` and `Treatment_Months` above benchmarks.