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Exam C_S4CS_2408 Topic 4 Question 10 Discussion
SAP Exam C_S4CS_2408 Topic 4 Question 10 Discussion
Actual exam question for SAP's C_S4CS_2408 exam
Question #: 10
Topic #: 4
[All C_S4CS_2408 Questions]
In a predictive model, what does the predictive power measure?
A
The ability to have the same level of performance on every new dataset
B
The ability of the input parameters to explain the target
C
The quantity of predictions that can be realized in the unit of time
D
The percentage of correct responses in the output dataset
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Suggested Answer:
B
by
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Sep 17, 2024, 10:36 AM
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Lashawnda
2 months ago
But isn't it also about the percentage of correct responses in the output dataset? That's what I think.
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Arlen
2 months ago
I agree with Lovetta. It's important for the model to accurately explain the target variable.
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Renay
3 months ago
Haha, option C is a bit silly. Predicting the quantity of predictions? That's like trying to measure the speed of light with a sundial!
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Sarah
2 months ago
Felicitas: Yeah, option C does sound a bit ridiculous. Predicting the quantity of predictions is definitely not the way to go.
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Felicitas
2 months ago
I agree, option B makes the most sense in a predictive model.
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Delmy
2 months ago
I think option B is the correct answer. It's about how well the input parameters can explain the target.
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Lovetta
3 months ago
I think the predictive power measures the ability of the input parameters to explain the target.
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Brynn
3 months ago
I'm going with option D. The percentage of correct responses in the output dataset is a direct measure of the predictive power, isn't it?
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Glenna
3 months ago
Option B seems the most logical answer. The predictive power measures how well the input parameters can explain the target variable.
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Noble
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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Margery
2 months ago
I agree, option B is the correct answer. It's all about how well the input parameters can explain the target.
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Lashawnda
2 months agoArlen
2 months agoRenay
3 months agoSarah
2 months agoFelicitas
2 months agoDelmy
2 months agoLovetta
3 months agoBrynn
3 months agoGlenna
3 months agoNoble
2 months agoMargery
2 months ago