nerdexam
IBM

C2090-930 · Question #9

Referring to the exhibit, respectively, which field is the predicted value and what is the confidence that you have in the prediction?

The correct answer is D. Credit rating; $XS-Credit rating. Option D is correct because in predictive analytics tools (such as IBM SPSS Modeler), the predicted value is represented by the original target field name - in this case, simply "Credit rating" - which holds the model's output prediction. The confidence in that prediction is…

Model Evaluation and Deployment

Question

Referring to the exhibit, respectively, which field is the predicted value and what is the confidence that you have in the prediction?

Exhibit

C2090-930 question #9 exhibit

Options

  • A$XS-Credit rating; $XSC-Credit rating
  • BCredit rating; $XSC-Credit rating
  • C$XSC-Credit rating; $XS-Credit rating
  • DCredit rating; $XS-Credit rating

How the community answered

(22 responses)
  • A
    5% (1)
  • B
    9% (2)
  • D
    86% (19)

Explanation

Option D is correct because in predictive analytics tools (such as IBM SPSS Modeler), the predicted value is represented by the original target field name - in this case, simply "Credit rating" - which holds the model's output prediction. The confidence in that prediction is stored in a system-generated field with a model-type prefix, here $XS-Credit rating, where the $XS prefix denotes the confidence score associated with the prediction.

Why the distractors fail:

  • A incorrectly assigns $XS-Credit rating as the predicted value and $XSC-Credit rating as the confidence - swapping both roles.
  • B gets the predicted value right ("Credit rating") but assigns $XSC-Credit rating as the confidence, which is a different system-generated field entirely.
  • C inverts both fields, making $XSC-Credit rating the prediction and $XS-Credit rating the confidence - neither role is correctly assigned.

Memory tip: Think of it as "plain name predicts, prefixed field reflects." The clean, human-readable field name ("Credit rating") is always the prediction; the system-decorated field with the $XS- prefix is the machine's confidence score attached to that prediction.

Topics

#output field naming#predicted value#confidence score#model output fields

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