Free SAS Institute A00-225 Exam Questions
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SAS Institute A00-225 Exam Questions
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Provided By: SAS Institute
- Exam: SAS Advanced Predictive Modeling
- Certification: SAS Administration
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Total Questions: 347
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Updated On: Mar 27, 2025
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Rated: 4.9 |
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Online Users: 694
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Question 1
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As a data scientist, you have built three predictive models to forecast the risk of a rare event occurring within a patient group. To evaluate these models, you have computed several fit statistics. Consider the following statistics for the models: Model A: - BIC: 182 - AIC: 175 - KS: 0.65 - Brier Score: 0.12 Model B: - BIC: 185 - AIC: 178 - KS: 0.60 Brier Score: 0.11 Model C: - BIC: 180 - AIC: 182 - KS: 0.80 - Brier Score: 0.09 Assuming that the most important criteria for model selection is the prediction accuracy of the rare event and considering the disease is highly imbalanced, which model should you recommend?
Answer: C
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As a data scientist, you have built three predictive models to forecast the risk of a rare event occurring within a patient group. To evaluate these models, you have computed several fit statistics. Consider the following statistics for the models: Model A: - BIC: 182 - AIC: 175 - KS: 0.65 - Brier Score: 0.12 Model B: - BIC: 185 - AIC: 178 - KS: 0.60 Brier Score: 0.11 Model C: - BIC: 180 - AIC: 182 - KS: 0.80 - Brier Score: 0.09 Assuming that the most important criteria for model selection is the prediction accuracy of the rare event and considering the disease is highly imbalanced, which model should you recommend?
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Question 2
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When building an ARCH model, an analyst notices that large errors are followed by large errors and small errors by small errors, but the sign of the errors does not matter. This phenomenon is indicative of what type of volatility clustering?
Answer: B
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Question 3
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A binary classifier is used to predict a rare event. Its performance is summarized in the following confusion matrix: | | Predicted Negative | Predicted Positive | |-||| | Actual Negative | 9750 | 250 | | Actual Positive | 25 | 75 | Given the model's performance, what is the False Positive Rate (FPR) of the classifier?
Answer: A
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A binary classifier is used to predict a rare event. Its performance is summarized in the following confusion matrix: | | Predicted Negative | Predicted Positive | |-||| | Actual Negative | 9750 | 250 | | Actual Positive | 25 | 75 | Given the model's performance, what is the False Positive Rate (FPR) of the classifier?
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Question 4
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A data analyst has performed a cluster analysis on a dataset and generated the following cluster matrix:
Cluster 1 Cluster 2
Count 150 200
Mean X 5.0 2.0
Mean Y 2.0 5.0
SSD 20.0 15.0
Given the cluster matrix above, which statement correctly interprets the cluster characteristics?
Answer: C
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A data analyst has performed a cluster analysis on a dataset and generated the following cluster matrix:
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Question 5
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You are working on a predictive model and you notice that your categorical variable "Color" has 50 different levels, which is adding complexity to your model. You decide to group these levels into fewer categories based on their frequency of occurrence to improve the model’s interpretability and performance. What technique would you most likely use for this task?
Answer: C
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You are working on a predictive model and you notice that your categorical variable "Color" has 50 different levels, which is adding complexity to your model. You decide to group these levels into fewer categories based on their frequency of occurrence to improve the model’s interpretability and performance. What technique would you most likely use for this task?