DA0-002 Data Analysis Practice Question
A data scientist builds a logistic regression model to predict customer churn (yes/no). The model outputs a probability of 0.75 for a particular customer. Which of the following best describes this output?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
There is a 75% chance the customer will churn.
Logistic regression outputs a probability between 0 and 1, interpreted as the likelihood of the positive class (churn = yes).
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The customer will definitely churn.
Why it's wrong here
Probability is not certainty.
- ✓
There is a 75% chance the customer will churn.
Why this is correct
Probability interpretation.
- ✗
The odds of churning are 0.75 to 1.
Why it's wrong here
Odds would be 0.75/0.25 = 3.
- ✗
The model is 75% accurate.
Why it's wrong here
Output is not model accuracy.
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