AIF-C01 Question 15
Single answerA data scientist is building a machine learning model to predict customer churn for a subscription-based service. The dataset includes fields such as customer demographic information, subscription plan details, and historical usage patterns. Which of the following best describes the type of data being used in this scenario?
- A
Labeled and structured data
- B
Unlabeled and unstructured data
- C
Labeled and unstructured data
- D
Unlabeled and structured data
Show answer and explanation
Correct answer: A
Explanation
The dataset contains labeled data because it includes the target variable (churn or no churn) associated with the input data. It is also structured because it is organized into clearly defined fields such as demographics, subscription details, and usage patterns. Recognizing the type of data is crucial for selecting the appropriate machine learning algorithm and preprocessing steps.
- A. Correct.
Labeled and structured data is correct because the dataset consists of organized fields (structured) and correlates inputs (like customer demographics) with outputs (churn or not churn, which makes it labeled).
- B. Incorrect.
Unlabeled and unstructured data is incorrect because the dataset is organized into fields, making it structured, and it includes labels for churn prediction.
- C. Incorrect.
Labeled and unstructured data is incorrect because the data is structured, as it is organized into fields such as demographic information and subscription details.
- D. Incorrect.
Unlabeled and structured data is incorrect because the dataset includes labels (e.g., whether a customer churned or not), which makes it labeled.