1. Identify a true statement about an unsupervised model.

Multiple Choice

• An unsupervised model provides an answer key the algorithm can use to evaluate its training data accuracy.

• Unsupervised learning enables the collection of data or a data output from a previous calculation.

• An unsupervised model has no target variable.

• An unsupervised model includes techniques that require a defined outcome measure.

2. Identify a true statement about AutoML.

Multiple Choice

• AutoML facilitates accurate decision making for users with limited coding and modeling experience.

• AutoML capabilities cannot be easily extended to populations beyond traditional data scientists, particularly in medium- and smaller-sized businesses.

• AutoML, if implemented precisely, can replace human analytical expertise.

• AutoML is mainly an unsupervised approach that employs the traditional, manual approach of standard machine learning.

3. The step of creating ensemble models in the AutoML process allows us to

Multiple Choice

• extract insight from data.

• handle missing data, outliers, variable selection, data transformation, and data standardization to maintain a common format.

• reduce the generalization error of the prediction.

• provide an understanding of invisible relationships and patterns.

4. Which of the four key steps in the AutoML process involves handling missing data, outliers, variable selection, data standardization, and data transformation to maintain a common format?

Multiple Choice

• creating ensemble models

• recommending models

• preparing data

• building models