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

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

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

2. Which type of model is typically used for time-series forecasting?

A) Logistic Regression
B) Decision Trees
C) AutoRegressive Integrated Moving Average (ARIMA)
D) K-Means Clustering

3. Which feature extraction method can take both interval variables and class variables as inputs?

A) Principal component analysis
B) Robust PCA
C) Singular value decomposition
D) Autoencoder

4. In model assessment, what does "cross-validation" aim to address?

A) Training a model
B) Overfitting and generalization
C) Data preprocessing
D) Model deployment

5. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Support Vector Machine (SVM)
B) Linear Regression
C) Random Forest
D) K-Means Clustering

Solutions: