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: 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: 63.5488
AccentThickness: 31.045925
Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
Entity Data:
SecretHandshakeQuality: 69.22898
AccentThickness: 41.60915
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: 73.85317
AccentThickness: 26.246595
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
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: 67.65863
AccentThickness: 22.4974
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: 63.5488
AccentThickness: 31.045925
Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
Entity Data:
SecretHandshakeQuality: 50.403297
AccentThickness: 31.491634
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 11 | 0 |
| Actual - | 4 | 5 |
Accuracy 0.800, Precision 0.733, Recall 1.000, F1 0.846