Dataset: titanic
Round ID: 265
Prompt used:
If Histogen_Complex is Omicron, predict Success.
If Genetic_Class_A_Matches is 1, and Genetic_Class_B_Matches is 1, and Histogen_Complex is Delta, and TcQ_mass is greater than 10000, predict Failure. Otherwise, if Genetic_Class_A_Matches is 1, and Genetic_Class_B_Matches is 1, and Histogen_Complex is Delta, predict Failure.
Otherwise, predict Success.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 14 14
Actual Success 3 20
Accuracy: 0.667
Precision: 0.824
Recall: 0.500
F1 Score: 0.622
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 60.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 8662.5
Cohort: Melbourne
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 81.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 26000.0
Cohort: Melbourne
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 56495.8
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Beta
Sex: male
Treatment_Months: 66.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 66600.0
Cohort: Melbourne
Round ID: 342
Prompt used:
Use the following rules to classify the data entries as 'Failure' or 'Success':
1. If 'Treatment_Months' > 100 and 'TcQ_mass' < 10,000, classify as 'Failure'.
2. If 'Histogen_Complex' is 'Omicron' and 'TcQ_mass' < 20,000, classify as 'Failure'.
3. If 'Genetic_Class_A_Matches' + 'Genetic_Class_B_Matches' >= 4 and 'TcQ_mass' > 50,000, classify as 'Success'.
4. For entities in Cohort 'Delhi' with 'Treatment_Months' > 150 and 'TcQ_mass' < 15,000, classify as 'Failure'.
5. For 'Histogen_Complex' 'Beta' or 'Delta' and 'TcQ_mass' > 70,000, classify as 'Success' unless 'Treatment_Months' < 10.
6. If 'Histogen_Complex' is 'Beta', 'TcQ_mass' > 200,000, and 'Treatment_Months' < 100, classify as 'Failure'.
7. If 'Histogen_Complex' is 'Delta' and 'TcQ_mass' < 8,000, classify as 'Failure'.
Classify based on these rules, and in cases not aligned to any rule above, use 'Failure' as the default classification.
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 27 1
Actual Success 19 4
Accuracy: 0.608
Precision: 0.587
Recall: 0.964
F1 Score: 0.730
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: female
Treatment_Months: 78.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7895.8
Cohort: Melbourne
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Beta
Sex: female
Treatment_Months: 132.0
Genetic_Class_A_Matches: 3
Genetic_Class_B_Matches: 1
TcQ_mass: 90000.0
Cohort: Lisbon
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: male
Treatment_Months: 12.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 3
TcQ_mass: 22025.0
Cohort: Melbourne
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Beta
Sex: male
Treatment_Months: 153.0
Genetic_Class_A_Matches: 2
Genetic_Class_B_Matches: 1
TcQ_mass: 77958.29999999999
Cohort: Melbourne
Round ID: 310
Prompt used:
Use the following refined classification rules to decide whether each row is labeled "Success" or "Failure." We aim to reduce false positives and false negatives by applying these revised conditions precisely, especially for the edge cases highlighted:
1) If Histogen_Complex is Beta:
a) If TcQ_mass ≥ 200000:
- Label "Failure" UNLESS (Genetic_Class_B_Matches ≥ 2 AND Treatment_Months < 80). In that case, label "Success."
b) Else if TcQ_mass ≥ 100000:
- Label "Success" if Genetic_Class_B_Matches ≥ 1.
- Otherwise, label "Failure."
c) Otherwise:
- Label "Success" if (TcQ_mass ≥ 25000) OR (Genetic_Class_B_Matches ≥ 2).
- EXCEPTION #1: If Sex is female AND 70 ≤ Treatment_Months < 100 AND Genetic_Class_B_Matches = 1, label "Failure."
- EXCEPTION #2: If Sex is female AND Treatment_Months ≥ 200 AND Genetic_Class_B_Matches = 2, label "Failure."
- If none of these conditions apply, label "Failure."
2) If Histogen_Complex is Delta:
- Label "Success" if ANY of the following conditions hold:
• (Genetic_Class_A_Matches ≥ 4 AND TcQ_mass < 15000)
• (Genetic_Class_B_Matches ≥ 3 AND TcQ_mass < 15000 AND (Genetic_Class_A_Matches ≥ 2 OR Treatment_Months < 100))
• (Sex is male AND Treatment_Months ≥ 50 AND TcQ_mass < 10000 AND Genetic_Class_B_Matches ≥ 2)
• (Sex is female AND Treatment_Months ≥ 60 AND Genetic_Class_A_Matches ≥ 2 AND TcQ_mass < 8000)
• (Sex is female AND Treatment_Months ≥ 90 AND TcQ_mass ≥ 50000)
• (Sex is male AND Treatment_Months ≥ 80 AND TcQ_mass < 8000 AND Genetic_Class_B_Matches ≥ 1)
• (Sex is female AND 80 ≤ Treatment_Months < 100 AND TcQ_mass < 8000 AND Genetic_Class_B_Matches ≥ 1 AND Genetic_Class_A_Matches ≥ 2)
• (Treatment_Months < 30 AND Genetic_Class_B_Matches ≥ 2 AND TcQ_mass < 15000)
• (Sex is male AND Treatment_Months ≥ 80 AND Genetic_Class_A_Matches ≥ 2 AND TcQ_mass < 20000)
• (Sex is female AND 60 ≤ Treatment_Months < 90 AND TcQ_mass < 8000 AND Cohort = "Delhi" AND Genetic_Class_A_Matches ≥ 1 AND Genetic_Class_B_Matches ≥ 1)
- Otherwise, label "Failure."
3) If Histogen_Complex is Omicron:
- Label "Success" if ANY of the following conditions hold:
• (Genetic_Class_B_Matches ≥ 2 AND Treatment_Months < 90)
• (TcQ_mass ≥ 12000 AND ((Sex is male AND Treatment_Months < 80) OR (Sex is female AND Treatment_Months < 80 AND Genetic_Class_B_Matches ≥ 2)))
• (Sex is female AND Treatment_Months ≥ 100 AND TcQ_mass ≥ 12000 AND (Treatment_Months < 115 OR Genetic_Class_B_Matches ≥ 2))
• (Sex is male AND Treatment_Months ≥ 80 AND TcQ_mass ≥ 10000 AND (Genetic_Class_B_Matches ≥ 2 OR (Genetic_Class_B_Matches ≥ 1 AND Genetic_Class_A_Matches ≥ 1)))
• (Sex is male AND Treatment_Months ≥ 100 AND TcQ_mass ≥ 12000 AND Genetic_Class_B_Matches ≥ 1)
- Otherwise, label "Failure."
4) For all other Histogen_Complex values:
- Label "Failure."
Apply these rules exactly as stated to each row. Output only "Success" or "Failure."
Confusion Matrix:
Predicted Failure Predicted Success
Actual Failure 26 2
Actual Success 13 10
Accuracy: 0.706
Precision: 0.667
Recall: 0.929
F1 Score: 0.776
Examples for Correctly predicted Failure: (Correct answer: Failure, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Beta
Sex: female
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 31000.0
Cohort: Melbourne
Examples for Falsely predicted Success when it should have been Failure: (Correct answer: Failure, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: female
Treatment_Months: 84.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 13000.0
Cohort: Melbourne
Examples for Falsely predicted Failure when it should have been Success: (Correct answer: Success, What the previous set of rules predicted: Failure)
Entity Data:
Histogen_Complex: Delta
Sex: male
Treatment_Months: 89.09735294117647
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 1
TcQ_mass: 7879.2
Cohort: Lisbon
Examples for Correctly predicted Success: (Correct answer: Success, What the previous set of rules predicted: Success)
Entity Data:
Histogen_Complex: Omicron
Sex: male
Treatment_Months: 75.0
Genetic_Class_A_Matches: 1
Genetic_Class_B_Matches: 2
TcQ_mass: 26000.0
Cohort: Melbourne
| Predicted + | Predicted - | |
|---|---|---|
| Actual + | 25 | 3 |
| Actual - | 11 | 12 |
Accuracy 0.725, Precision 0.694, Recall 0.893, F1 0.781