Consider this Python code snippet combining rule and ML predictions:

medium📝 Predict Output Q13 of 15

NLP - Sentiment Analysis Advanced

rule_pred = [1, 0, 1, 1]
ml_pred = [1, 1, 0, 1]
combined = [int(r or m) for r, m in zip(rule_pred, ml_pred)]
print(combined)

What is the output?

A[0, 1, 1, 0]

B[1, 0, 0, 1]

C[1, 1, 1, 1]

D[1, 1, 0, 0]

Step-by-Step Solution

Solution:

Step 1: Understand the logic of combining predictions
The code uses logical OR between rule_pred and ml_pred elements.
Step 2: Calculate each combined element
Positions: 1 or 1 = 1, 0 or 1 = 1, 1 or 0 = 1, 1 or 1 = 1.
Final Answer:
[1, 1, 1, 1] -> Option C
Quick Check:
OR operation on lists = [1,1,1,1] [OK]

Quick Trick: OR means if either is 1, result is 1 [OK]

Common Mistakes:

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