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

1. In model assessment, what is the purpose of feature importance analysis?

A) To create synthetic features
B) To assess data quality
C) To evaluate the significance of input features in making predictions
D) To visualize data distribution

2. What does the term "bagging" refer to in ensemble learning?

A) A technique that reduces model complexity
B) The process of combining multiple identical models to reduce variance
C) A type of feature extraction
D) A form of dimensionality reduction

3. In a supervised learning pipeline, what is the role of the training data set?

A) To test the model's generalization capability
B) To train the machine learning model
C) To evaluate the model's predictions
D) To validate the model's performance

4. Which data source typically provides access to real-time financial market data?

A) Online news websites
B) Social media platforms
C) Weather stations
D) Stock market APIs

5. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

A) Root Mean Squared Error (RMSE)
B) R-squared
C) Accuracy
D) Mean Absolute Error (MAE)

Solutions: