Ensemble

Dataset: titanic

Models

Model Narratives

openailong

Round ID: 140
Prompt used:
	Based on the analysis of the dataset, please follow these explicit and specific rules to predict the outcome:
	
	1. **Treatment Months Rule:**  
	   - If 'Treatment_Months' is less than 10, predict 'Success'.  
	   - If 'Treatment_Months' is between 10 and 65:  
	       - If 'Histogen_Complex' is 'Omega' and 'Genetic_Class_A_Matches' is at least 2, predict 'Success'.  
	       - If 'Histogen_Complex' is 'Omicron' and 'Genetic_Class_A_Matches' is 1 or less, predict 'Failure'.  
	       - If 'Histogen_Complex' is 'Delta', predict 'Failure' regardless of 'Genetic_Class_A_Matches'.  
	       - Otherwise, predict 'Failure'.  
	   - If 'Treatment_Months' is between 66 and 89:  
	       - If 'Histogen_Complex' is 'Delta', predict 'Failure'.  
	       - If 'Histogen_Complex' is not 'Delta' and 'Genetic_Class_A_Matches' is less than 2, predict 'Failure'.  
	       - If 'Histogen_Complex' is not 'Delta' and 'Genetic_Class_A_Matches' is at least 2, predict 'Success'.  
	   - If 'Treatment_Months' is 90 or more:  
	       - If 'Histogen_Complex' is 'Delta' and 'TcQ_mass' is below 30000, predict 'Failure'.  
	       - If 'Cohort' is 'Melbourne', predict 'Failure' unless 'TcQ_mass' is above 30000 and 'Genetic_Class_A_Matches' is at least 3.  
	       - For 'Cohort: Lisbon', predict 'Failure' if 'Treatment_Months' is greater than 150 with no other criteria met.  
	       - Predict 'Success' only if 'TcQ_mass' is below 15000 or if 'Histogen_Complex' is not 'Delta' and 'Genetic_Class_A_Matches' is above 2.  
	
	2. **TcQ_mass Criteria:**  
	   - If 'TcQ_mass' is below 16000 and 'Histogen_Complex' is 'Delta', predict 'Failure'.  
	   - If 'TcQ_mass' is between 16000 and 30000 and 'Treatment_Months' is over 80, predict 'Success' only if 'Genetic_Class_A_Matches' is at least 2.  
	   - If 'TcQ_mass' is 30000 or more and 'Genetic_Class_A_Matches' is at least 2, predict 'Success'.  
	
	3. **Genetic Class Match Rule:**  
	   - If 'Genetic_Class_A_Matches' is 5 or more, predict 'Success'.  
	   - If 'Genetic_Class_A_Matches' is equal to 1 or the total with 'Genetic_Class_B_Matches' is less than 3, predict 'Failure'.  
	   - If 'Genetic_Class_A_Matches' is between 2 and 4 and 'Histogen_Complex' is not 'Delta', predict 'Success' only if 'TcQ_mass' is above 20000.  
	
	4. **Cohort Influence:**  
	   - For 'Cohort: Melbourne', predict 'Success' if 'TcQ_mass' is above 30000 and 'Treatment_Months' is below 150; otherwise, predict 'Failure'.  
	   - For 'Cohort: Delhi', predict 'Failure' if 'Treatment_Months' exceeds 105 and 'TcQ_mass' is below 20000 regardless of matches.  
	   - For 'Cohort: Lisbon', predict 'Success' only if 'Genetic_Class_A_Matches' is 2 or more and 'TcQ_mass' is above 30000.  
	
	5. **New Enhanced Rule About Histogen Complex:**  
	   - If 'Histogen_Complex' is 'Beta' and 'TcQ_mass' is above 50000, predict 'Success' without additional conditions.  
	   - If 'Histogen_Complex' is 'Beta' and 'Genetic_Class_A_Matches' is 3 or more, predict 'Success' to reduce false negatives from previously caught errors.  
	
	6. **Fallback Condition:**  
	   - If no other rules apply, predict 'Failure' to minimize false positives.

Confusion Matrix:
                Predicted Failure    Predicted Success   
Actual Failure                    24                    4
Actual Success                    12                   11

Accuracy: 0.686
Precision: 0.667
Recall: 0.857
F1 Score: 0.750

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: 89.09735294117647
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 6950.0
	Cohort: Lisbon


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: Omicron
	Sex: male
	Treatment_Months: 24.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 3
	TcQ_mass: 26250.0
	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: 75.0
	Genetic_Class_A_Matches: 2
	Genetic_Class_B_Matches: 1
	TcQ_mass: 91079.2
	Cohort: Delhi


openai35

Round ID: 68
Prompt used:
	Choose randomly

Confusion Matrix:
                Predicted Failure    Predicted Success   
Actual Failure                    16                   12
Actual Success                    13                   10

Accuracy: 0.510
Precision: 0.552
Recall: 0.571
F1 Score: 0.561

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: Beta
	Sex: male
	Treatment_Months: 66.0
	Genetic_Class_A_Matches: 2
	Genetic_Class_B_Matches: 1
	TcQ_mass: 66600.0
	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: 24.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 3
	TcQ_mass: 26250.0
	Cohort: Melbourne


random

Round ID: 116
Prompt used:
	Choose randomly

Confusion Matrix:
                Predicted Failure    Predicted Success   
Actual Failure                    16                   12
Actual Success                    14                    9

Accuracy: 0.490
Precision: 0.533
Recall: 0.571
F1 Score: 0.552

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: 63.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 7250.0
	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: 57.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 14500.0
	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: 105.0
	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: Delta
	Sex: female
	Treatment_Months: 135.0
	Genetic_Class_A_Matches: 1
	Genetic_Class_B_Matches: 1
	TcQ_mass: 8050.000000000001
	Cohort: Melbourne


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +217
Actual -149

Accuracy 0.588, Precision 0.600, Recall 0.750, F1 0.667