Dataset: titanic
Round ID: 245
Prompt used:
Evaluate whether the treatment will be a success or failure based on the following rules. Apply the rules in sequential order and stop at the first matching rule:
Rule 1: If Histogen_Complex is Beta AND Sex is female AND TcQ_mass > 50,000:
- If Cohort is Delhi AND Treatment_Months < 90, predict Success.
- Otherwise, predict Failure.
Rule 2: If Histogen_Complex is Beta AND TcQ_mass > 45,000:
- If Sex is male, predict Success.
- If Sex is female AND Treatment_Months < 85, predict Success.
- Otherwise, predict Failure.
Rule 3: If Histogen_Complex is Beta AND TcQ_mass between 30,000 and 45,000:
- If Cohort is Delhi, predict Success.
- If Sex is male, predict Success.
- If Sex is female AND Cohort is Melbourne AND Treatment_Months < 90, predict Success.
- Otherwise, predict Failure.
Rule 4: If Histogen_Complex is Beta AND TcQ_mass between 25,000 and 30,000:
- If Cohort is Delhi, predict Success.
- If Treatment_Months < 90 AND Sex is male, predict Success.
- If Cohort is Melbourne AND Sex is female AND Treatment_Months < 85, predict Success.
- Otherwise, predict Failure.
Rule 5: If Histogen_Complex is Beta AND TcQ_mass < 25,000, predict Failure.
Rule 6: If Histogen_Complex is Delta AND Sex is female AND TcQ_mass > 50,000:
- If Cohort is Melbourne AND Treatment_Months < 80, predict Success.
- Otherwise, predict Failure.
Rule 7: If Histogen_Complex is Delta AND Genetic_Class_A_Matches + Genetic_Class_B_Matches > 4:
- If TcQ_mass < 50,000, predict Failure.
- Otherwise, predict Failure.
Rule 8: If Histogen_Complex is Delta AND Sex is male AND TcQ_mass between 7,500 and 25,000:
- If Cohort is Lisbon AND Treatment_Months < 70, predict Success.
- If Cohort is Delhi AND Treatment_Months < 60, predict Success.
- If Cohort is Melbourne AND Treatment_Months < 50, predict Success.
- Otherwise, predict Failure.
Rule 9: If Histogen_Complex is Delta AND Sex is female AND TcQ_mass between 7,800 and 8,200:
- If Cohort is Delhi AND Treatment_Months < 65, predict Success.
- Otherwise, predict Failure.
Rule 10: If Histogen_Complex is Delta AND TcQ_mass < 7,800:
- If Cohort is Delhi AND Treatment_Months < 85, predict Success.
- If Cohort is Lisbon AND Treatment_Months < 60, predict Success.
- If Sex is female AND Genetic_Class_A_Matches >= 2 AND Treatment_Months < 65, predict Success.
- Otherwise, predict Failure.
Rule 11: If Histogen_Complex is Omicron AND Sex is female:
- If Treatment_Months < 60 AND Genetic_Class_A_Matches + Genetic_Class_B_Matches >= 5, predict Success.
- Otherwise, predict Failure.
Rule 12: If Histogen_Complex is Omicron AND Treatment_Months > 150:
- If Sex is male AND Genetic_Class_A_Matches + Genetic_Class_B_Matches >= 4, predict Success.
- Otherwise, predict Failure.
Rule 13: If Histogen_Complex is Omicron AND Treatment_Months between 120 and 150:
- If Sex is male AND Genetic_Class_A_Matches + Genetic_Class_B_Matches >= 3, predict Success.
- Otherwise, predict Failure.
Rule 14: If Histogen_Complex is Omicron AND Sex is male AND Treatment_Months < 120:
- If Genetic_Class_A_Matches >= 2 AND Genetic_Class_B_Matches >= 2, predict Success.
- If Treatment_Months < 50 AND (Genetic_Class_A_Matches >= 2 OR Genetic_Class_B_Matches >= 2), predict Success.
- Otherwise, predict Failure.
Rule 15: If Histogen_Complex is Delta AND Cohort is Delhi AND TcQ_mass > 10,000:
- If Treatment_Months < 60, predict Success.
- Otherwise, predict Failure.
Rule 16: If Cohort is Delhi AND TcQ_mass > 40,000 AND Treatment_Months < 60, predict Success unless contradicted by Rules 6 or 7.
Rule 17: If Cohort is Delhi AND TcQ_mass < 10,000 AND Treatment_Months < 70, predict Success.
Rule 18: If Histogen_Complex is Delta AND Sex is male AND Cohort is Lisbon AND TcQ_mass < 9,000 AND Treatment_Months < 60, predict Success.
Rule 19: If Histogen_Complex is Omicron AND Sex is male AND Treatment_Months < 60 AND Genetic_Class_A_Matches >= 1 AND Genetic_Class_B_Matches >= 2, predict Success.
Rule 20: If none of the above rules apply, predict Failure.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 26 2
Actual Success 8 15
Accuracy: 0.804
Precision: 0.765
Recall: 0.929
F1 Score: 0.839
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: 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: Beta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 52000.0
Cohort: Melbourne
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: 93.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7775.0
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: Beta
Sex: female
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 221779.2
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: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7879.2
Cohort: Lisbon
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: 153.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 77958.29999999999
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: 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: Delta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 3
TcQ_mass: 23450.0
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: female
Treatment_Months: 111.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 2
TcQ_mass: 52554.200000000004
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
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 25 | 3 |
| Actual - | 6 | 17 |
Accuracy 0.824, Precision 0.806, Recall 0.893, F1 0.847