Ensemble

Dataset: espionage

Models

• anthropic10
• openailong
• openai35

Model Narratives

anthropic10

Round ID: 167
Prompt used:
	Classify an entity based on these refined rules:
	
	DoubleAgent Criteria:
	1. If SecretHandshakeQuality > 70, automatically DoubleAgent
	2. If SecretHandshakeQuality is between 60-70:
	   - Must have AccentThickness less than 30 to be DoubleAgent
	3. If SecretHandshakeQuality is between 55-60:
	   - Must have AccentThickness less than 25 to be DoubleAgent
	
	Loyal Criteria:
	1. If SecretHandshakeQuality ≤ 55, automatically Loyal
	2. If SecretHandshakeQuality is between 55-70:
	   - Must have AccentThickness ≥ 30 to be Loyal
	3. If SecretHandshakeQuality is above 70:
	   - Must have AccentThickness ≥ 35 to be Loyal
	
	Additional Considerations:
	- Use a holistic assessment of both SecretHandshakeQuality and AccentThickness
	- Recognize that the boundary between classifications is not strictly binary
	- Prefer precision in classification over aggressive categorization

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   10                    1
Actual Loyal                       2                    7

Accuracy: 0.850
Precision: 0.833
Recall: 0.909
F1 Score: 0.870

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 81.58595
	AccentThickness: 29.12992


Examples for Falsely predicted Loyal when it should have been DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 69.86503
	AccentThickness: 30.364574


Examples for Falsely predicted DoubleAgent when it should have been Loyal: (Correct answer: Loyal, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 71.73181
	AccentThickness: 39.43552


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 68.84351
	AccentThickness: 34.039898

openailong

Round ID: 305
Prompt used:
	To classify an entity as either a DoubleAgent or a Loyal, follow these refined rules:
	
	1. If SecretHandshakeQuality is greater than 75 AND AccentThickness is greater than or equal to 30, classify as DoubleAgent.
	2. If SecretHandshakeQuality is between 65 and 75 AND AccentThickness is below 30, classify as DoubleAgent.  
	3. If SecretHandshakeQuality is below 65 AND AccentThickness is above 35, classify as Loyal.
	4. If SecretHandshakeQuality is between 55 and 65 AND AccentThickness is below 30, classify as DoubleAgent.
	5. If SecretHandshakeQuality is between 50 and 55 AND AccentThickness is below 30, classify as Loyal.
	6. If SecretHandshakeQuality is between 65 and 70 AND AccentThickness is between 28 and 35, classify as DoubleAgent.

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   10                    1
Actual Loyal                       5                    4

Accuracy: 0.700
Precision: 0.667
Recall: 0.909
F1 Score: 0.769

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 68.14341
	AccentThickness: 29.523798


Examples for Falsely predicted Loyal when it should have been DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 84.02795
	AccentThickness: 23.454235


Examples for Falsely predicted DoubleAgent when it should have been Loyal: (Correct answer: Loyal, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 69.22898
	AccentThickness: 41.60915


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 60.094635
	AccentThickness: 39.26489

openai35

Round ID: 467
Prompt used:
	Based on the provided examples, create a rule that considers: If SecretHandshakeQuality is above 70 and AccentThickness is below 30, predict DoubleAgent; otherwise, predict Loyal. This revised rule aims to better distinguish between the two classes based on the observed data.

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                    7                    4
Actual Loyal                       0                    9

Accuracy: 0.800
Precision: 1.000
Recall: 0.636
F1 Score: 0.778

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 72.08864
	AccentThickness: 13.79886


Examples for Falsely predicted Loyal when it should have been DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 74.732376
	AccentThickness: 32.734047


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 64.37712
	AccentThickness: 36.071754

Ensemble Confusion Matrix

Accuracy 0.850, Precision 0.833, Recall 0.909, F1 0.870