Dataset: espionage
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: 80.57122
AccentThickness: 24.773367
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: 68.84351
AccentThickness: 34.039898
Examples for Correctly predicted Loyal: (Correct answer: Loyal, What the previous set of rules predicted: Loyal)
Entity Data:
SecretHandshakeQuality: 50.812286
AccentThickness: 28.25855
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: 64.37712
AccentThickness: 36.071754
Round ID: 260
Prompt used:
Task: Label each entity as either "DoubleAgent" or "Loyal" using ONLY the two numeric fields provided.
Fields
• SecretHandshakeQuality (range 0–100, higher means better)
• AccentThickness (range 0–100, higher means heavier accent)
Apply the rules IN THE EXACT ORDER below and stop as soon as one matches:
1. If AccentThickness ≥ 50 → Loyal
2. Else if SecretHandshakeQuality ≥ 88 → DoubleAgent
3. Else if SecretHandshakeQuality ≥ 78 AND AccentThickness ≤ 45 → DoubleAgent
4. Else if SecretHandshakeQuality ≥ 73 AND AccentThickness ≤ 40 → DoubleAgent # new rule to catch high‑score agents with slightly heavier accents
5. Else if SecretHandshakeQuality ≥ 70 AND AccentThickness ≤ 35 → DoubleAgent
6. Else if SecretHandshakeQuality ≥ 62 AND AccentThickness ≤ 30 → DoubleAgent
7. Else if SecretHandshakeQuality ≥ 60 AND AccentThickness ≤ 26 → DoubleAgent # new rule to capture medium‑score agents with very light accents
8. Else if SecretHandshakeQuality ≥ 58 AND AccentThickness ≤ 24 → DoubleAgent
9. Otherwise → Loyal
Return exactly the single word "DoubleAgent" or "Loyal" with no extra text.
Confusion Matrix:
Predicted DoubleAgent Predicted Loyal
Actual DoubleAgent 9 2
Actual Loyal 2 7
Accuracy: 0.800
Precision: 0.818
Recall: 0.818
F1 Score: 0.818
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: 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: 71.73181
AccentThickness: 39.43552
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 - | 3 | 6 |
Accuracy 0.850, Precision 0.786, Recall 1.000, F1 0.880