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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

1. What is the primary objective of model evaluation in the context of building predictive models?

A) Assessing the model's performance and accuracy
B) Discovering patterns in data
C) Visualizing data
D) Cleaning the data

2. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm8
B) Logi_rfm4
C) Logi_rfm6
D) Logi_rfm12

3. What is the primary role of a loss function in model training?

A) To maximize the model's performance
B) To visualize the data
C) To assess the accuracy of the model
D) To measure the difference between predicted and actual values

4. What is the purpose of a confusion matrix in the context of classification models?

A) To compute the mean squared error
B) To visualize the data
C) To evaluate model performance, especially for binary classification
D) To summarize the distribution of target variables

5. What is the primary difference between supervised and unsupervised learning in model building?

A) The amount of labeled data required
B) The use of feature engineering
C) The presence or absence of a target variable
D) The type of data used

Solutions: