Ensemble

Dataset: espionage

Models

Model Narratives

openai10o1

Round ID: 554
Prompt used:
	You are given a single row of data with two fields:
	• SecretHandshakeQuality (numeric)
	• AccentThickness (numeric)
	
	Your task is to predict if this agent is DoubleAgent or Loyal based on the following rules:
	
	1) If SecretHandshakeQuality > 80:
	   Predict DoubleAgent.
	
	2) Else if SecretHandshakeQuality < 58:
	   a) If SecretHandshakeQuality ≥ 55 and AccentThickness < 20, predict DoubleAgent.
	   b) Otherwise, predict Loyal.
	
	3) Else if 58 ≤ SecretHandshakeQuality < 60:
	   a) If AccentThickness < 24, predict DoubleAgent.
	   b) Otherwise, predict Loyal.
	
	4) Else if 60 ≤ SecretHandshakeQuality < 70:
	   a) If SecretHandshakeQuality ≥ 65 and AccentThickness < 31, predict DoubleAgent.
	   b) Else if AccentThickness < 26, predict DoubleAgent.
	   c) Otherwise, predict Loyal.
	
	5) Else (meaning 70 ≤ SecretHandshakeQuality ≤ 80):
	   a) If SecretHandshakeQuality ≥ 75 and AccentThickness < 45, predict DoubleAgent.
	   b) Else if SecretHandshakeQuality ≥ 72 and AccentThickness < 40, predict DoubleAgent.
	   c) Else if AccentThickness < 35, predict DoubleAgent.
	   d) Otherwise, predict Loyal.
	
	Make sure to apply these rules exactly as stated, without any additional interpretation. Only output "DoubleAgent" or "Loyal" as your answer.

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   10                    1
Actual Loyal                       1                    8

Accuracy: 0.900
Precision: 0.909
Recall: 0.909
F1 Score: 0.909

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 84.02795
	AccentThickness: 23.454235


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: 72.419624
	AccentThickness: 37.632015


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 69.22898
	AccentThickness: 41.60915


opus4010

Round ID: 492
Prompt used:
	You are tasked with identifying whether an entity is a "DoubleAgent" or "Loyal" based on two characteristics: SecretHandshakeQuality and AccentThickness.
	
	Apply these rules in order:
	
	1. If SecretHandshakeQuality is less than 62 AND AccentThickness is less than 20, classify as "DoubleAgent"
	2. If AccentThickness is greater than 35 AND SecretHandshakeQuality is less than 70, classify as "Loyal"
	3. If SecretHandshakeQuality is greater than 70 AND AccentThickness is less than 32, classify as "DoubleAgent"
	4. If SecretHandshakeQuality is between 62 and 70 (inclusive) AND AccentThickness is between 32 and 35 (inclusive), classify as "Loyal"
	5. If SecretHandshakeQuality is less than 62 AND AccentThickness is greater than or equal to 20, classify as "Loyal"
	6. Otherwise, classify as "DoubleAgent"
	
	Output only the classification: either "DoubleAgent" or "Loyal".

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   10                    1
Actual Loyal                       3                    6

Accuracy: 0.800
Precision: 0.769
Recall: 0.909
F1 Score: 0.833

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 84.02795
	AccentThickness: 23.454235


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: 67.65863
	AccentThickness: 22.4974


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: 72.419624
	AccentThickness: 37.632015


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 50.812286
	AccentThickness: 28.25855


sonnet4010

Round ID: 508
Prompt used:
	You are analyzing entities to determine if they are DoubleAgent or Loyal based on two measurements: SecretHandshakeQuality and AccentThickness.
	
	Apply these rules in order:
	
	1. EXTREME ACCENT OVERRIDES (more restrictive):
	   - If AccentThickness < 22: Predict DoubleAgent (regardless of SecretHandshakeQuality)
	   - If AccentThickness > 48: Predict Loyal (regardless of SecretHandshakeQuality)
	
	2. PRIMARY RULE - SecretHandshakeQuality Dominance:
	   - If SecretHandshakeQuality > 80: Predict DoubleAgent (unless AccentThickness > 48)
	   - If SecretHandshakeQuality < 55: Predict Loyal (unless AccentThickness < 22)
	
	3. SECONDARY RULE - For SecretHandshakeQuality between 55-80 (inclusive):
	   - If AccentThickness < 28: Predict DoubleAgent
	   - If AccentThickness > 42: Predict Loyal
	   - If AccentThickness between 28-42 (inclusive): Use combined score
	
	4. COMBINED SCORE RULE - For AccentThickness 28-42 and SecretHandshakeQuality 55-80:
	   - Calculate: (SecretHandshakeQuality - 55) - (AccentThickness - 28)
	   - If result > 8: Predict DoubleAgent
	   - If result ≤ 8: Predict Loyal
	
	Output only "DoubleAgent" or "Loyal" as your prediction.

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   11                    0
Actual Loyal                       0                    9

Accuracy: 1.000
Precision: 1.000
Recall: 1.000
F1 Score: 1.000

Examples for Correctly predicted DoubleAgent: (Correct answer: DoubleAgent, What the previous set of rules predicted: DoubleAgent)
  Entity Data:
	SecretHandshakeQuality: 73.85317
	AccentThickness: 26.246595


Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
  Entity Data:
	SecretHandshakeQuality: 72.419624
	AccentThickness: 37.632015


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +110
Actual -18

Accuracy 0.950, Precision 0.917, Recall 1.000, F1 0.957