Fantastic SASInstitute - A00-255 - Dumps SAS Predictive Modeling Using SAS Enterprise Miner 14 Download

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To pass the SASInstitute A00-255 Exam, candidates must demonstrate their proficiency in several areas, including data preparation, variable selection, model selection, model assessment, and deployment. A00-255 exam comprises 50 multiple-choice questions, and candidates have 110 minutes to complete it. A00-255 exam is administered by the SASInstitute and can be taken online or at a testing center. Upon passing the exam, candidates receive a SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 credential, which is recognized globally and can help professionals advance their careers in data science and analytics.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q22-Q27):

NEW QUESTION # 22
Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A. 0.077935227
B. 0.0658174098
C. 0.9341825902
D. 0.9220647773

Answer: D

NEW QUESTION # 23
Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:

A. Backward
B. Simple
C. Forward
D. Stepwise

Answer: C

NEW QUESTION # 24
What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

A. 0.24169
B. 0.27649
C. 0.24914
D. 0.10844

Answer: B

NEW QUESTION # 25
Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

A. Gini coefficient
B. average squared error
C. misclassification
D. KS statistic

Answer: A

NEW QUESTION # 26
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:

A. Misclassification rate, ROC index, ASE
B. R-square, AIC, K-S statistic
C. ASE, Lift for the top 10%, ROC index
D. ROC index, ASE, misclassification rate

Answer: D

NEW QUESTION # 27
......

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Fantastic SASInstitute - A00-255 - Dumps SAS Predictive Modeling Using SAS Enterprise Miner 14 Download

A00-255 Testking Exam Questions, Braindumps A00-255 Pdf

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q22-Q27):

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