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SASInstitute A00-255 certification exam covers a wide range of topics, including data preparation, variable selection, model selection, model assessment, and model deployment. A00-255 Exam is designed to test the candidate's ability to apply statistical techniques and machine learning algorithms to large datasets to develop accurate predictive models. Candidates will be required to demonstrate their proficiency in using SAS Enterprise Miner to create, evaluate, and deploy predictive models.
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NEW QUESTION # 62
You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:
Answer: D
NEW QUESTION # 63
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
Answer: B
NEW QUESTION # 64
What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:
Answer: D
NEW QUESTION # 65
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:
Answer: D
NEW QUESTION # 66
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
Answer: A
NEW QUESTION # 67
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