Free A00-240 Exam Braindumps (page: 4)

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Refer to the exhibit:


The plots represent two models, A and B, being fit to the same two data sets, training and validation.

Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.

Which of the two models should be selected and why?

  1. Model It is more complex with a higher accuracy than model B on training data.
  2. Model A. It performs better on the boundary for the training data.
  3. Model B. It is more complex with a higher accuracy than model A on validation data.
  4. Model B. It is simpler with a higher accuracy than model A on validation data.

Answer(s): D



Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

  1. Option A
  2. Option B
  3. Option C
  4. Option D

Answer(s): A



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

  1. Training: 50% Validation: 0% Testing: 50%
  2. Training: 100% Validation: 0% Testing: 0%
  3. Training: 0% Validation: 100% Testing: 0%
  4. Training: 50% Validation: 50% Testing: 0%

Answer(s): D



Refer to the exhibit:


Based upon the comparative ROC plot for two competing models, which is the champion model and why?

  1. Candidate 1, because the area outside the curve is greater
  2. Candidate 2, because the area under the curve is greater
  3. Candidate 1, because it is closer to the diagonal reference curve
  4. Candidate 2, because it shows less over fit than Candidate 1

Answer(s): B






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