Dataset: espionage
Round ID: 3
Prompt used:
Classify an entity as a DoubleAgent using the following comprehensive criteria:
DoubleAgent Classification Rules:
1. Primary Criteria:
- If SecretHandshakeQuality > 65 AND AccentThickness < 35, classify as DoubleAgent
- If SecretHandshakeQuality > 75 AND AccentThickness < 40, classify as DoubleAgent
2. Compensatory Criteria:
- If SecretHandshakeQuality is between 60-75:
* Classify as DoubleAgent if AccentThickness is exceptionally low (< 20)
* Requires SecretHandshakeQuality to be above 65 when AccentThickness is between 20-35
Loyal Classification Rules:
1. Primary Criteria:
- If AccentThickness > 50, classify as Loyal
- If SecretHandshakeQuality < 60, classify as Loyal
2. Secondary Criteria:
- If SecretHandshakeQuality is between 60-70:
* Classify as Loyal if AccentThickness > 40
* Requires a clear separation from potential DoubleAgent indicators
Additional Guidance:
- These rules capture the nuanced interplay between SecretHandshakeQuality and AccentThickness
- Look for combinations that suggest covert or straightforward allegiances
- Prioritize precise identification over broad categorization
Rationale: The classification method seeks to identify DoubleAgents through a combination of high secretive capabilities (SecretHandshakeQuality) and low detectability (AccentThickness), while identifying Loyal entities through more pronounced identifying characteristics.
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: 73.85317
AccentThickness: 26.246595
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: 60.094635
AccentThickness: 39.26489
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: 74.732376
AccentThickness: 32.734047
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: 63.5488
AccentThickness: 31.045925
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: 63.5488
AccentThickness: 31.045925
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 10 | 1 |
| Actual - | 2 | 7 |
Accuracy 0.850, Precision 0.833, Recall 0.909, F1 0.870