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

2. What is the primary purpose of model deployment in the context of data science and machine learning?

A) Making the model available for use in real-world applications
B) Model building
C) Model evaluation
D) Data preprocessing

3. When deploying a machine learning model, what is "model drift"?

A) A measure of feature importance
B) A sudden increase in the model's accuracy
C) The process of feature extraction
D) A change in the distribution of the input data or target variable over time

4. Which evaluation metric is commonly used for assessing the performance of a regression model?

A) Confusion Matrix
B) F1 Score
C) Precision
D) Mean Absolute Error (MAE)

5. In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A) To compare models' performance in terms of sensitivity and specificity
B) To visualize data distribution
C) To measure feature importance
D) To evaluate the mean squared error of a model

Solutions: