A00-240 무료 덤프문제 온라인 액세스

What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

• A.It violates assumptions of the model.
• B.It requires extra computational effort and time.
• C.There is no ability to compare the effectiveness of different cleansing methods.
• D.It omits the training (and test) data sets from the benefits of the cleansing methods.

An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target.
However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.
What is the correct application of Greenacre's method in this situation?

• A.Clustering the levels using the target proportion for each zip_code as input.
• B.Clustering the levels using the zip_code values as input.
• C.Clustering the levels using the number of cases in each zip_code as input.
• D.Clustering the levels using dummy coded zip_code levels as inputs.

Refer to the exhibit:

SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the exhibit, which statement is true?

• A.The AIC champion model is more parsimonious than the SBC champion.
• B.The R-Square champion model is the most parsimonious.
• C.The SBC champion model is more parsimonious than the AIC champion.
• D.Adjusted R-Square and R-Square agree on the champion model.

A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.
For which of the following would this study be a candidate?

• A.multicollinearity
• B.oversampling
• C.over fitting
• D.simple random sample

Given the following SAS data set TEST:

Which SAS program is NOT a correct way to create dummy variables?

• A.Option C
• B.Option D
• C.Option A
• D.Option B