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A00-240 Practice Questions

A00-240 Practice Questions

Question# 1

Refer to the ROC curve: As you move along the curve, what changes?

Question# 2

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

Question# 3

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?

Question# 4

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

Question# 5

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

Note:

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A00-240 Practice Questions

A00-240 Practice Questions

Question# 1

Refer to the ROC curve: As you move along the curve, what changes?

Question# 2

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

Question# 3

An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?

Question# 4

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

Question# 5

Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?

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