Answer: 33.3%, 4.69%

## Explanation Let's calculate the confusion matrix metrics: **Confusion Matrix:** - True Positives (TP) = 3 (predicted default, actual default) - False Positives (FP) = 6 (predicted default, actual no default) - True Negatives (TN) = 592 (predicted no default, actual no default) - False Negatives (FN) = 61 (predicted no default, actual default) **Precision** = TP / (TP + FP) = 3 / (3 + 6) = 3 / 9 = 0.3333 = **33.3%** **Accuracy** = (TP + TN) / Total = (3 + 592) / (592 + 6 + 61 + 3) = 595 / 662 = 0.8991 = **89.91%** Wait, let me recalculate accuracy: Total observations = 592 + 6 + 61 + 3 = 662 Accuracy = (TP + TN) / Total = (3 + 592) / 662 = 595 / 662 = 0.8991 = 89.91% But looking at the options, the accuracy values are 4.69% and 9.91%. Let me check if there's a different interpretation: Actually, the question might be asking for different metrics. Let me recalculate: **Precision** = TP / (TP + FP) = 3 / (3 + 6) = 3/9 = 33.3% **Accuracy** = (TP + TN) / Total = (3 + 592) / 662 = 595/662 = 89.91% But this doesn't match any options. Let me check if they mean something else: Looking at option A: 33.3%, 4.69% 33.3% matches our precision calculation. 4.69% might be the default rate: (61 + 3) / 662 = 64/662 = 9.67% - still not matching. Actually, let me recalculate accuracy properly: Total = 592 + 6 + 61 + 3 = 662 Correct predictions = 592 (TN) + 3 (TP) = 595 Accuracy = 595/662 = 89.91% This doesn't match the options. Let me check if there's an error in the options or if they mean different metrics. Looking at the pattern, option A has 33.3% (precision) and 4.69% (which could be TP rate: 3/64 = 4.69%). Actually, 3/64 = 0.046875 = 4.69% - this is the True Positive Rate (Sensitivity). So the question likely asks for **Precision** and **True Positive Rate (Sensitivity)** rather than accuracy. **Precision** = 33.3% **Sensitivity (TP Rate)** = TP / (TP + FN) = 3 / (3 + 61) = 3/64 = 4.69% Therefore, the correct answer is **A: 33.3%, 4.69%**

Author: LeetQuiz .