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NEW QUESTION 35
Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right.

Answer:

Explanation:

 

NEW QUESTION 36
PROC GLMSELECT was used for building a model predicting the natural log of a baseball player's salary from certain performance and longevity statistics. The model used backward elimination using SBC as its selection criterion. The sequence of steps is summarized in the graphic shown below:

At Step 9 number of at bats (nAtBat) was removed from the model.
Why was it removed?

A. The p-Value for nAtBat was smallest.B. Removing nAtBat had the largest effect on the parameter estimate of nHits.C. Removing nAtBat yielded the largest improvement to SBC.D. The p-Value for nAtBat was largest.

Answer: D

 

NEW QUESTION 37
In order to perform honest assessment on a predictive model, what is an acceptable division between
training, validation, and testing data?

A. Training: 50% Validation: 50% Testing: 0%B. Training: 100% Validation: 0% Testing: 0%C. Training: 0% Validation: 100% Testing: 0%D. Training: 50% Validation: 0% Testing: 50%

Answer: A

 

NEW QUESTION 38
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?

A. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.B. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.C. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.D. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.

Answer: B

 

NEW QUESTION 39
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