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: Delta
Sex: female
Treatment_Months: 66.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 9350.0
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: female
Treatment_Months: 85.5
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 16100.000000000002
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: Omicron
Sex: male
Treatment_Months: 72.0
Genetic_Class_A_Matches: 3
Genetic_Class_B_Matches: 4
TcQ_mass: 18750.0
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: 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 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: 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: Omicron
Sex: male
Treatment_Months: 75.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 2
TcQ_mass: 26000.0
Cohort: Melbourne
Round ID: 276
Prompt used:
Use the following explicit rules to classify each entity's outcome as Success or Failure:
1) If Histogen_Complex is Delta AND Genetic_Class_A_Matches = 2 AND TcQ_mass ≥ 16000 AND Treatment_Months < 80, then label the outcome as Failure.
2) If Histogen_Complex is Omicron AND 10000 ≤ TcQ_mass < 20000 AND 50 ≤ Treatment_Months < 90 AND Sex = female, then label the outcome as Success.
3) If Histogen_Complex is Omicron AND TcQ_mass ≥ 20000 AND Treatment_Months ≥ 90 AND Sex = female, then label the outcome as Failure.
4) If Histogen_Complex is Omicron AND 10000 ≤ TcQ_mass < 20000 AND Treatment_Months < 90 AND Sex = female, then label the outcome as Failure.
5) If Histogen_Complex is Beta AND Genetic_Class_B_Matches ≥ 3, then label the outcome as Failure.
6) If Histogen_Complex is Beta or Omicron AND TcQ_mass ≥ 20000, then label the outcome as Success.
7) If Histogen_Complex is Omicron AND TcQ_mass ≤ 0, then label the outcome as Failure.
8) If Histogen_Complex is Delta AND Treatment_Months < 6, then label the outcome as Failure.
9) If Histogen_Complex is Delta AND Genetic_Class_A_Matches ≥ 3 AND (TcQ_mass < 15000 OR Treatment_Months < 60), then label the outcome as Failure.
10) If Histogen_Complex is Delta AND Genetic_Class_A_Matches ≥ 3 AND TcQ_mass ≥ 15000, then label the outcome as Success.
11) If Histogen_Complex is Delta AND Genetic_Class_A_Matches = 2 AND TcQ_mass ≥ 15000 AND Treatment_Months ≥ 90, then label the outcome as Failure.
12) If Histogen_Complex is Delta AND Genetic_Class_A_Matches = 2 AND TcQ_mass ≥ 15000, then label the outcome as Success.
13) If Histogen_Complex is Delta AND Genetic_Class_A_Matches ≤ 1 AND TcQ_mass < 10000 AND Sex = male, then label the outcome as Success.
14) If Histogen_Complex is Delta AND Genetic_Class_A_Matches ≤ 1 AND TcQ_mass < 10000, then label the outcome as Failure.
15) Otherwise, label the outcome as Success.
Return only the single word “Success” or “Failure” based on these rules, without further commentary.
Apply these steps to the given row of data:
• Read the row’s Histogen_Complex, Sex, Treatment_Months, Genetic_Class_A_Matches, Genetic_Class_B_Matches, TcQ_mass, Cohort.
• Evaluate them against the rules above in order.
• As soon as you match a rule, label and stop (do not check subsequent rules).
• If none of the first fourteen rules apply, default to Success using Rule 15.
Remember: do not deviate from these rules, and do not output explanations.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 20 8
Actual Success 5 18
Accuracy: 0.745
Precision: 0.800
Recall: 0.714
F1 Score: 0.755
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: 84.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 13000.0
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: 31000.0
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: Beta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 52000.0
Cohort: Melbourne
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 20 | 8 |
| Actual - | 5 | 18 |
Accuracy 0.745, Precision 0.800, Recall 0.714, F1 0.755