Answer Happy

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