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SAP Exam C_S4CS_2408 Topic 2 Question 4 Discussion

Actual exam question for SAP's C_S4CS_2408 exam
Question #: 4
Topic #: 2
[All C_S4CS_2408 Questions]

In a predictive model, what does the predictive power measure?

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Suggested Answer: B

by Alline at Sep 09, 2024, 01:38 AM

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Youlanda
10 months ago
Joke's on us, the real predictive power is the friends we made along the way.
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Cassi
10 months ago
I'm just hoping the exam doesn't measure my 'predictive power' of guessing the right answer! That would be a tough one.
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Natalie
9 months ago
D) The percentage of correct responses in the output dataset
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Larae
9 months ago
B) The ability of the input parameters to explain the target
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Karan
10 months ago
A) The ability to have the same level of performance on every new dataset
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Remona
10 months ago
Hmm, I'm torn between B and D. I guess it really depends on how you define 'predictive power'. Maybe it's a combination of both?
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Horace
11 months ago
I'm not sure about that. Wouldn't the predictive power also depend on the accuracy of the predictions? Option D seems to capture that better.
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Lynette
10 months ago
Exactly, predictive power is about how well the model can accurately predict outcomes.
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Cecilia
10 months ago
So, it's more about the overall correctness of the predictions rather than the speed or quantity.
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Annette
10 months ago
Accuracy is important, but predictive power specifically focuses on the percentage of correct responses.
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Charolette
10 months ago
Option D is correct. It measures the percentage of correct responses in the output dataset.
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Lindsey
11 months ago
I'm not sure, but I think it might also be about the percentage of correct responses in the output dataset, option D.
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Dottie
11 months ago
I agree with Carole, option B makes sense because it's about how well the input parameters can predict the target.
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Omer
11 months ago
Option B seems to be the most relevant. The predictive power measures how well the input parameters can explain the target variable.
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Boris
11 months ago
Yeah, that's right. The predictive power is really about the ability of the input parameters to explain the target.
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Ma
11 months ago
I agree, option B is the most relevant. It's all about how well the input parameters can explain the target.
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Claribel
11 months ago
Yes, that's right. The predictive power is really about the ability of the input parameters to explain the target variable.
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Venita
11 months ago
I agree, option B is the most relevant. It's all about how well the input parameters can explain the target.
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Carole
11 months ago
I think the predictive power measures the ability of the input parameters to explain the target.
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