Dataset: titanic
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: 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: 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: male
Treatment_Months: 72.0
Genetic_Class_A_Matches: 3
Genetic_Class_B_Matches: 4
TcQ_mass: 18750.0
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: 42.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 30070.8
Cohort: Delhi
Round ID: 277
Prompt used:
Task: Classify each entity as "Success" or "Failure" using the rules below. Output exactly one of these two words.
Deterministic classification rules (apply in order):
1. If Histogen_Complex is Beta or Omicron, classify as Success.
2. Otherwise (all other Histogen_Complex values, e.g. Delta, Alpha, etc.), classify as Failure.
Do not rely on any other features. Do not explain the answer. Just output the single word label.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 17 11
Actual Success 5 18
Accuracy: 0.686
Precision: 0.773
Recall: 0.607
F1 Score: 0.680
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: 78.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7895.8
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: 132.0
Genetic_Class_A_Matches: 2
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: Delta
Sex: female
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 56495.8
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 2.4899999999999998
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 2
TcQ_mass: 18750.0
Cohort: Melbourne
Round ID: 296
Prompt used:
You are given one entity at a time with the following fields.
• Histogen_Complex (string)
• Sex ("male" or "female")
• Treatment_Months (number, can be decimal)
• Genetic_Class_A_Matches (integer ≥0)
• Genetic_Class_B_Matches (integer ≥0)
• TcQ_mass (number, can be decimal)
• Cohort (string)
Your task is to predict the treatment OUTCOME for that entity.
Only two outcomes are possible:
Success
Failure
Apply the rules below IN ORDER. As soon as a rule is satisfied, output the associated outcome and stop – do not check the lower-priority rules. The rules are designed to be mutually exclusive and cover every possible row.
Rule 1 HIGH GENETIC BURDEN → Failure
Let total_matches = Genetic_Class_A_Matches + Genetic_Class_B_Matches.
If total_matches ≥ 6, predict Failure.
Rule 2 EXTREME TcQ_mass → Success
If TcQ_mass > 200 000, predict Success.
Rule 3 MALE DEFAULT → Success
If Sex is "male", predict Success.
Rule 4 SHORT TREATMENT WINDOW FOR FEMALES → Success
If Sex is "female" AND Treatment_Months < 24, predict Success.
Rule 5 OTHERWISE → Failure
All remaining cases (i.e., Sex "female" with Treatment_Months ≥ 24 and that did not match any earlier rule) are predicted as Failure.
Output exactly one word – either Success or Failure – with nothing else.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 24 4
Actual Success 7 16
Accuracy: 0.784
Precision: 0.774
Recall: 0.857
F1 Score: 0.814
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Beta
Sex: female
Treatment_Months: 138.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 61175.0
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: Delta
Sex: male
Treatment_Months: 27.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 2
TcQ_mass: 15245.8
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: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 56495.8
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Delta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7879.2
Cohort: Lisbon
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 24 | 4 |
| Actual - | 9 | 14 |
Accuracy 0.745, Precision 0.727, Recall 0.857, F1 0.787