Question 1 of 30
A company is evaluating the performance of its machine learning model used for predicting customer churn. They have a dataset containing 10,000 customer records, with 2,000 of them indicating churn (positive class) and 8,000 indicating no churn (negative class). After training the model, they find that it predicts 1,500 customers as churners, out of which 1,200 are actual churners. What is the model\'s precision, and how does it reflect the model\'s performance in this scenario?
0.8 (or 80%)
0.6 (or 60%)
0.75 (or 75%)
0.9 (or 90%)

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