AIF-C01 Question 14
Select 3A company is building a machine learning model to predict customer churn. They have collected user profile data such as name, age, and subscription type, as well as website activity logs and customer feedback text reviews. Which of the following describes the types of data they are working with?
- A
Structured data
- B
Unstructured data
- C
Labeled data
- D
Time-series data
- E
Tabular data
- F
Image data
Show answer and explanation
Correct answers: A, B, E
Explanation
The dataset described in the scenario contains both structured and unstructured data. The user profile data is structured and tabular, while website activity logs and customer feedback text reviews are unstructured. Understanding the types of data being used is crucial for selecting appropriate preprocessing techniques and machine learning models.
- A. Correct.
Correct: User profile data, such as name, age, and subscription type, is structured data because it is organized into predefined fields and tables.
- B. Correct.
Correct: Website activity logs and customer feedback text reviews are unstructured data because they do not follow a predefined format (e.g., free text).
- C. Incorrect.
Incorrect: Labeled data refers to data with associated labels for supervised learning tasks, but the question does not specify the presence of labels for training.
- D. Incorrect.
Incorrect: Time-series data refers to data points collected or recorded over time in chronological order, but this is not mentioned in the given scenario.
- E. Correct.
Correct: Tabular data refers to data that is organized into rows and columns, such as the user profile data provided.
- F. Incorrect.
Incorrect: Image data refers to visual inputs like photographs or scans, which are not mentioned in this scenario.