Pegasystems PEGACPDS88V1 Exam - Topic 1 Question 26 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam

Question #: 26
Topic #: 1

[All PEGACPDS88V1 Questions]

What happens when you increase the performance threshold setting of an adaptive model rule?

AThe number of active predictors increases

BThe performance of the model is increased

CThe correlation threshold decreases

DThe number of active predictors may decrease

Show Suggested Answer

Suggested Answer: C

Given the scenario where U+ Bank introduces a new credit card that has no historical customer behavior data and wants to offer this credit card on the personalized web portal, you must use anadaptive model.

by Hobert at Oct 24, 2024, 12:30 PM

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Sheldon

3 months ago

The correlation threshold decreasing sounds off to me.

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Quinn

3 months ago

I think it's option D for sure.

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Agustin

3 months ago

Wait, really? I thought it would increase the performance.

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Hester

4 months ago

Totally agree, that's how it works!

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Alesia

4 months ago

The number of active predictors may decrease.

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Rodrigo

4 months ago

I vaguely remember something about thresholds and predictors, and I think D makes sense since it aligns with what I studied.

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Mari

4 months ago

I feel like increasing the threshold could lead to better performance, but I can't recall if that's always the case.

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Vincenza

4 months ago

I remember a practice question where adjusting thresholds affected model complexity, so maybe D is correct?

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Claudia

5 months ago

I think increasing the performance threshold might actually reduce the number of active predictors, but I'm not completely sure.

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Reed

5 months ago

Hmm, I think I've got it. Increasing the performance threshold means the model will only keep predictors that meet a higher bar, so the number of active predictors is likely to decrease.

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Rosalyn

5 months ago

I'm a bit confused on this one. Does increasing the threshold mean the model will be more or less selective in choosing predictors? I need to review the concepts again.

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Rueben

5 months ago

I'm pretty sure that increasing the threshold will improve the model's performance, but I'm not sure if that's the same as increasing the number of active predictors.

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Mindy

5 months ago

Okay, let's see. Increasing the threshold means the model will be more selective in choosing predictors, so the number of active predictors could go up or down depending on the data.

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Ozell

5 months ago

Hmm, this seems like a tricky one. I'll need to think through the relationship between the performance threshold and the model's behavior.

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Keith

10 months ago

Ooh, I know this one! If you increase the performance threshold, the model will just start predicting the weather by looking out the window. Easy-peasy!

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Haydee

9 months ago

A) The number of active predictors increases

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Rodrigo

9 months ago

D) The number of active predictors may decrease

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Glynda

9 months ago

A) The number of active predictors increases

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Hyun

10 months ago

Increasing the performance threshold, huh? I guess that's what happens when you set the bar too high. Maybe they should try lowering it and giving everyone a participation trophy instead!

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Peggie

9 months ago

Maybe they should try lowering it and giving everyone a participation trophy instead!

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Willie

9 months ago

D) The number of active predictors may decrease

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Jeff

9 months ago

A) The number of active predictors increases

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Hubert

10 months ago

Hmm, this is a tricky one. I'm tempted to say that the number of active predictors would increase, but that doesn't really make sense. I better double-check my understanding of adaptive models before I make a guess on this one.

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Joanne

9 months ago

B) The performance of the model is increased

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Dana

9 months ago

D) The number of active predictors may decrease

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Grover

10 months ago

A) The number of active predictors increases

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Ellsworth

10 months ago

Ah, I see what's going on here. If the performance threshold is higher, the model will need to be more confident in its predictions, so the number of active predictors would go down. Option D is the way to go, no doubt about it.

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Bettina

10 months ago

I'm not sure about this one. I guess increasing the threshold could improve the model's performance, but I'm not convinced that's the right answer. I'll have to think about this a bit more.

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William

9 months ago

D) The number of active predictors may decrease

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Carmelina

10 months ago

A) The number of active predictors increases

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Emelda

11 months ago

Hmm, I think increasing the performance threshold would make the model more selective, so the number of active predictors might actually decrease. Option D seems like the right answer to me.

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