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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
23 days 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
25 days ago
I agree with Lovetta. It's important for the model to accurately explain the target variable.
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Renay
1 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
6 days 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
16 days ago
User 2: I agree, option B makes the most sense in a predictive model.
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Delmy
22 days ago
User 1: 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
1 months ago
I think the predictive power measures the ability of the input parameters to explain the target.
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Brynn
1 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
1 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
24 days 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
1 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
23 days agoArlen
25 days agoRenay
1 months agoSarah
6 days agoFelicitas
16 days agoDelmy
22 days agoLovetta
1 months agoBrynn
1 months agoGlenna
1 months agoNoble
24 days agoMargery
1 months ago