Ensemble

Dataset: espionage

Models

Model Narratives

geminipro

Round ID: 442
Prompt used:
	Analyze the provided Entity Data, which contains 'SecretHandshakeQuality' and 'AccentThickness'. Classify the entity as 'DoubleAgent' or 'Loyal' based on the following rules. Apply the rules in the order they are listed.
	
	1.  If SecretHandshakeQuality > 70:
	    a. If AccentThickness > 50, classify as 'Loyal'.
	    b. Otherwise (AccentThickness <= 50), classify as 'DoubleAgent'.
	2.  If SecretHandshakeQuality <= 60:
	    a. If AccentThickness <= 20, classify as 'DoubleAgent'.
	    b. Otherwise (AccentThickness > 20), classify as 'Loyal'.
	3.  If SecretHandshakeQuality > 60 AND SecretHandshakeQuality <= 70:
	    a. If AccentThickness > 34, classify as 'Loyal'.
	    b. Otherwise (AccentThickness <= 34), classify as 'DoubleAgent'.
	
	Provide only the classification ('DoubleAgent' or 'Loyal') as the output.

Confusion Matrix:
                Predicted DoubleAgent Predicted Loyal     
Actual DoubleAgent                   11                    0
Actual Loyal                       4                    5

Accuracy: 0.800
Precision: 0.733
Recall: 1.000
F1 Score: 0.846

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 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


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: 80.57122
	AccentThickness: 24.773367


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: 68.84351
	AccentThickness: 34.039898


Ensemble Confusion Matrix

Predicted +Predicted -
Actual +110
Actual -45

Accuracy 0.800, Precision 0.733, Recall 1.000, F1 0.846