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: 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
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
Predicted + | Predicted - | |
---|---|---|
Actual + | 11 | 0 |
Actual - | 4 | 5 |
Accuracy 0.800, Precision 0.733, Recall 1.000, F1 0.846