Dataset: titanic
Round ID: 84
Prompt used:
Predict treatment outcome using these decision rules:
1. Histogen_Complex Delta:
- FAILURE if:
a) Treatment_Months > 90 AND TcQ_mass < 9000
b) Treatment_Months < 60 AND TcQ_mass > 7500
c) Genetic_Class_B_Matches > 1 AND Treatment_Months > 120
2. Histogen_Complex Beta:
- SUCCESS more likely if:
a) TcQ_mass > 40000
b) Genetic_Class_A_Matches > 1
c) Treatment_Months between 100-150
3. Histogen_Complex Omicron:
- FAILURE more likely if:
a) Treatment_Months > 150
b) TcQ_mass > 12000
4. Additional Considerations:
- Higher number of genetic matches suggests better treatment resilience
- Cohort (Melbourne/Delhi) may modify baseline predictions
- Sex can be a secondary modifier of outcome probability
Evaluation Steps:
1. Identify Histogen_Complex
2. Apply complex-specific rules
3. Check genetic match and treatment duration
4. Consider TcQ_mass thresholds
5. Make final prediction with nuanced confidence
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 14 14
Actual Success 5 18
Accuracy: 0.627
Precision: 0.737
Recall: 0.500
F1 Score: 0.596
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 162.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 14000.0
Cohort: Melbourne
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 75.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 3
TcQ_mass: 41579.2
Cohort: Delhi
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 135.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 8050.000000000001
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: male
Treatment_Months: 24.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 3
TcQ_mass: 26250.0
Cohort: Melbourne
Round ID: 95
Prompt used:
Evaluate the patient's outcome using the following deterministic rules:
RULE 1: IF Histogen_Complex is Delta AND Sex is male AND Cohort is Melbourne AND Genetic_Class_A_Matches >= 3 AND TcQ_mass > 15000, THEN predict Failure.
RULE 2: IF Histogen_Complex is Delta AND Sex is female AND (Cohort is Delhi OR Cohort is Lisbon) AND Genetic_Class_A_Matches >= 2, THEN predict Failure.
RULE 3: IF Histogen_Complex is Delta AND Sex is male AND Cohort is Delhi AND Treatment_Months >= 75, THEN predict Failure.
RULE 4: IF the patient belongs to the Delhi cohort AND Treatment_Months < 70 AND Genetic_Class_A_Matches >= 2 AND Histogen_Complex is NOT Delta, THEN predict Success.
RULE 5: IF Histogen_Complex is Delta AND Sex is female AND Genetic_Class_A_Matches = 1 AND Genetic_Class_B_Matches = 1 AND Cohort is Melbourne, THEN:
- If TcQ_mass is between 7500-7890 AND Treatment_Months > 90, predict Success.
- Otherwise, predict Failure.
RULE 6: IF Histogen_Complex is Beta AND Cohort is Delhi, THEN:
- If TcQ_mass > 50000 AND Sex is male, predict Success.
- If TcQ_mass > 250000, predict Success.
- Otherwise, predict Failure.
RULE 7: IF Treatment_Months > 90 AND Genetic_Class_A_Matches = 1 AND Genetic_Class_B_Matches <= 2, THEN:
- If Histogen_Complex is Omicron AND Sex is male AND TcQ_mass < 15000, predict Success.
- Otherwise, predict Failure.
RULE 8: IF Sex is male AND Genetic_Class_A_Matches >= 2 AND Treatment_Months < 75 AND Histogen_Complex is NOT Delta, THEN predict Success.
RULE 9: IF Sex is male AND Genetic_Class_A_Matches = 1 AND Genetic_Class_B_Matches <= 2 AND Cohort is Melbourne AND Histogen_Complex is Delta, THEN:
- If TcQ_mass < 8500 AND Treatment_Months < 75, predict Success.
- Otherwise, predict Failure.
RULE 10: IF Sex is female AND Treatment_Months > 85 AND Histogen_Complex is Delta AND Cohort is Melbourne, THEN predict Failure.
RULE 11: IF Histogen_Complex is Delta AND Sex is male AND Genetic_Class_B_Matches >= 5, THEN predict Failure.
RULE 12: IF Histogen_Complex is Delta AND Sex is male AND Treatment_Months < 50 AND Cohort is Delhi, THEN predict Success.
RULE 13: IF Histogen_Complex is Delta AND Sex is female AND Treatment_Months < 15 AND Cohort is Melbourne AND Genetic_Class_A_Matches <= 2, THEN predict Success.
RULE 14: IF Histogen_Complex is Beta AND Sex is male, THEN:
- If Genetic_Class_A_Matches >= 3, predict Success.
- If Cohort is Melbourne AND TcQ_mass > 50000, predict Success.
- If Cohort is Melbourne AND Treatment_Months < 60 AND Genetic_Class_A_Matches >= 2, predict Success.
- If Cohort is Melbourne AND Genetic_Class_B_Matches <= 3 AND Treatment_Months > 100, predict Success.
- Otherwise, predict Failure.
RULE 15: IF Histogen_Complex is Omicron AND Sex is male AND Treatment_Months < 70, THEN predict Success.
RULE 16: IF Histogen_Complex is Omicron AND Sex is female, THEN:
- If Treatment_Months < 90, predict Failure.
- If TcQ_mass > 10000 AND Treatment_Months >= 90, predict Failure.
- Otherwise, predict Success.
RULE 17: IF Histogen_Complex is Delta AND Sex is male AND Cohort is Melbourne AND TcQ_mass < 8500 AND Treatment_Months > 75, THEN predict Success.
DEFAULT RULE: If none of the above rules apply, predict Failure.
Apply these rules sequentially in the order they are presented. Once a rule matches, use its prediction and stop checking further rules.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 24 4
Actual Success 13 10
Accuracy: 0.667
Precision: 0.649
Recall: 0.857
F1 Score: 0.738
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 57.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 14500.0
Cohort: Melbourne
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 81.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 26000.0
Cohort: Melbourne
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 96.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 26000.0
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Beta
Sex: male
Treatment_Months: 105.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 52000.0
Cohort: Melbourne
Round ID: 310
Prompt used:
Use the following refined classification rules to decide whether each row is labeled "Success" or "Failure." We aim to reduce false positives and false negatives by applying these revised conditions precisely, especially for the edge cases highlighted:
1) If Histogen_Complex is Beta:
a) If TcQ_mass ≥ 200000:
- Label "Failure" UNLESS (Genetic_Class_B_Matches ≥ 2 AND Treatment_Months < 80). In that case, label "Success."
b) Else if TcQ_mass ≥ 100000:
- Label "Success" if Genetic_Class_B_Matches ≥ 1.
- Otherwise, label "Failure."
c) Otherwise:
- Label "Success" if (TcQ_mass ≥ 25000) OR (Genetic_Class_B_Matches ≥ 2).
- EXCEPTION #1: If Sex is female AND 70 ≤ Treatment_Months < 100 AND Genetic_Class_B_Matches = 1, label "Failure."
- EXCEPTION #2: If Sex is female AND Treatment_Months ≥ 200 AND Genetic_Class_B_Matches = 2, label "Failure."
- If none of these conditions apply, label "Failure."
2) If Histogen_Complex is Delta:
- Label "Success" if ANY of the following conditions hold:
• (Genetic_Class_A_Matches ≥ 4 AND TcQ_mass < 15000)
• (Genetic_Class_B_Matches ≥ 3 AND TcQ_mass < 15000 AND (Genetic_Class_A_Matches ≥ 2 OR Treatment_Months < 100))
• (Sex is male AND Treatment_Months ≥ 50 AND TcQ_mass < 10000 AND Genetic_Class_B_Matches ≥ 2)
• (Sex is female AND Treatment_Months ≥ 60 AND Genetic_Class_A_Matches ≥ 2 AND TcQ_mass < 8000)
• (Sex is female AND Treatment_Months ≥ 90 AND TcQ_mass ≥ 50000)
• (Sex is male AND Treatment_Months ≥ 80 AND TcQ_mass < 8000 AND Genetic_Class_B_Matches ≥ 1)
• (Sex is female AND 80 ≤ Treatment_Months < 100 AND TcQ_mass < 8000 AND Genetic_Class_B_Matches ≥ 1 AND Genetic_Class_A_Matches ≥ 2)
• (Treatment_Months < 30 AND Genetic_Class_B_Matches ≥ 2 AND TcQ_mass < 15000)
• (Sex is male AND Treatment_Months ≥ 80 AND Genetic_Class_A_Matches ≥ 2 AND TcQ_mass < 20000)
• (Sex is female AND 60 ≤ Treatment_Months < 90 AND TcQ_mass < 8000 AND Cohort = "Delhi" AND Genetic_Class_A_Matches ≥ 1 AND Genetic_Class_B_Matches ≥ 1)
- Otherwise, label "Failure."
3) If Histogen_Complex is Omicron:
- Label "Success" if ANY of the following conditions hold:
• (Genetic_Class_B_Matches ≥ 2 AND Treatment_Months < 90)
• (TcQ_mass ≥ 12000 AND ((Sex is male AND Treatment_Months < 80) OR (Sex is female AND Treatment_Months < 80 AND Genetic_Class_B_Matches ≥ 2)))
• (Sex is female AND Treatment_Months ≥ 100 AND TcQ_mass ≥ 12000 AND (Treatment_Months < 115 OR Genetic_Class_B_Matches ≥ 2))
• (Sex is male AND Treatment_Months ≥ 80 AND TcQ_mass ≥ 10000 AND (Genetic_Class_B_Matches ≥ 2 OR (Genetic_Class_B_Matches ≥ 1 AND Genetic_Class_A_Matches ≥ 1)))
• (Sex is male AND Treatment_Months ≥ 100 AND TcQ_mass ≥ 12000 AND Genetic_Class_B_Matches ≥ 1)
- Otherwise, label "Failure."
4) For all other Histogen_Complex values:
- Label "Failure."
Apply these rules exactly as stated to each row. Output only "Success" or "Failure."
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 26 2
Actual Success 13 10
Accuracy: 0.706
Precision: 0.667
Recall: 0.929
F1 Score: 0.776
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 136.5
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7225.0
Cohort: Delhi
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 84.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 13000.0
Cohort: Melbourne
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Beta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 52000.0
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: male
Treatment_Months: 72.0
Genetic_Class_A_Matches: 3
Genetic_Class_B_Matches: 4
TcQ_mass: 18750.0
Cohort: Melbourne
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 23 | 5 |
| Actual - | 10 | 13 |
Accuracy 0.706, Precision 0.697, Recall 0.821, F1 0.754