Ensemble

Dataset: titanic

Models

Model Narratives

anthropic3710

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: 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: 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: 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: 105.0
	Genetic_Class_A_Matches: 2
	Genetic_Class_B_Matches: 1
	TcQ_mass: 52000.0
	Cohort: Melbourne


openai10o1

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: 99.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 12275.0
	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: Beta
	Sex: female
	Treatment_Months: 84.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 35500.0
	Cohort: Melbourne


Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
  Entity Data:
	Histogen_Complex: Beta
	Sex: female
	Treatment_Months: 111.0
	Genetic_Class_A_Matches: 2
	Genetic_Class_B_Matches: 2
	TcQ_mass: 52554.200000000004
	Cohort: Melbourne


openaio1

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: 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: 99.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 12275.0
	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: 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: Delta
	Sex: male
	Treatment_Months: 89.09735294117647
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 7879.2
	Cohort: Lisbon


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +262
Actual -617

Accuracy 0.843, Precision 0.812, Recall 0.929, F1 0.867