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| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Interpretation | - Assessing model performance - Interpreting model outputs and reports |
| Topic 2: Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Topic 3: Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
| Topic 4: Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
What is the primary benefit of exporting score code for model deployment?
Correct Answer: D 🗳️
Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?
Correct Answer: D 🗳️
How can you assign a group-by variable to a predictive model in SAS Visual Analytics?
Correct Answer: B,C 🗳️
In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?
Correct Answer: A,D 🗳️
What is the primary purpose of specifying the link function in logistic regression?
Correct Answer: A 🗳️
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