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?

AThe ability to have the same level of performance on every new dataset

BThe ability of the input parameters to explain the target

CThe quantity of predictions that can be realized in the unit of time

DThe percentage of correct responses in the output dataset

Show Suggested Answer

Suggested Answer: B

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

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Youlanda

2 months ago

Joke's on us, the real predictive power is the friends we made along the way.

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Cassi

2 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

1 months ago

D) The percentage of correct responses in the output dataset

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Larae

1 months ago

B) The ability of the input parameters to explain the target

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Karan

1 months ago

A) The ability to have the same level of performance on every new dataset

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Remona

2 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

2 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

1 months ago

Exactly, predictive power is about how well the model can accurately predict outcomes.

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Cecilia

1 months ago

So, it's more about the overall correctness of the predictions rather than the speed or quantity.

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Annette

2 months ago

Accuracy is important, but predictive power specifically focuses on the percentage of correct responses.

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Charolette

2 months ago

Option D is correct. It measures the percentage of correct responses in the output dataset.

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Lindsey

3 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

3 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

3 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

2 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

2 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

2 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

3 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

3 months ago

I think the predictive power measures the ability of the input parameters to explain the target.

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