Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Pegasystems PEGACPDS88V1 Exam - Topic 1 Question 17 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 17
Topic #: 1
[All PEGACPDS88V1 Questions]

When developing a predictive model, the outcome value of a continuous model type can represent__________________

Show Suggested Answer Hide Answer
Suggested Answer: D

When developing a predictive model, the outcome value of a continuous model type can representthe purchase value of an offer.


by Cristen at Jul 12, 2024, 01:24 PM

Limited Time Offer

25%

Off

Get Premium PEGACPDS88V1 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Veta
4 months ago
Definitely, acceptance of an offer fits well with continuous outcomes.
upvoted 0 times
...
Novella
5 months ago
Wait, can it really predict loan defaults too? Sounds risky!
upvoted 0 times
...
Pamella
5 months ago
I think it could also represent the purchase value of an offer.
upvoted 0 times
...
James
5 months ago
Totally agree, churn is a big one!
upvoted 0 times
...
Marquetta
5 months ago
Continuous models can predict customer churn.
upvoted 0 times
...
Reita
6 months ago
I'm a bit confused; I thought continuous models were mostly for numerical outcomes, so maybe D is correct since it involves a monetary value?
upvoted 0 times
...
Steffanie
6 months ago
The purchase value of an offer sounds like it could be a continuous outcome, but I also recall discussions about acceptance rates being more categorical.
upvoted 0 times
...
Amira
6 months ago
I remember practicing a question about predicting loan defaults, so I wonder if option C might be the right answer here.
upvoted 0 times
...
Catarina
6 months ago
I think the outcome value could be related to customer churn, but I'm not entirely sure if that's the best fit for a continuous model.
upvoted 0 times
...
Alethea
6 months ago
I'm pretty confident on this one. The key is that the question is asking about a continuous model, which means the outcome is a numerical value, not a categorical label. So the correct answer has to be D) the purchase value of an offer.
upvoted 0 times
...
Jules
6 months ago
Okay, I've got this. A continuous model would represent a numerical value, not a binary outcome. So the options that make the most sense are C) customer loan default and D) the purchase value of an offer. I'll go with D.
upvoted 0 times
...
Annamaria
6 months ago
Hmm, I'm a bit unsure about this one. I know continuous models deal with numerical outcomes, but I'm not totally clear on the specific examples that would fit. I'll have to think it through step-by-step.
upvoted 0 times
...
Angella
6 months ago
This seems like a straightforward question about the types of outcomes in predictive modeling. I'll think through the options carefully and select the one that best fits the description of a continuous model.
upvoted 0 times
...
Shoshana
6 months ago
Hmm, I'm not entirely sure about this one. I know misguided incentives can cause issues, but I'm not confident I fully understand the differences between these cultural descriptions. I'll need to think it through carefully.
upvoted 0 times
...
Angelyn
6 months ago
I think we need to calculate the cash flow first and then apply the tax implications, but I'm not entirely sure about the reducing balance method.
upvoted 0 times
...
Lovetta
2 years ago
D) all the way! Continuous models are made for predicting numerical values, not yes/no decisions. Although I do enjoy a good game of 'Guess the Churn Rate'.
upvoted 0 times
Justine
2 years ago
C) customer loan default
upvoted 0 times
...
Mila
2 years ago
B) acceptance of an offer
upvoted 0 times
...
Shantay
2 years ago
A) customer churn
upvoted 0 times
...
...
Mindy
2 years ago
Definitely D) the purchase value of an offer. Anything else would be a categorical or binary outcome, not a continuous one.
upvoted 0 times
Ashlee
2 years ago
Yeah, but D) the purchase value of an offer is a clear example of a continuous outcome in predictive modeling.
upvoted 0 times
...
Virgie
2 years ago
I think B) acceptance of an offer could also be a continuous outcome depending on how it's measured.
upvoted 0 times
...
Pete
2 years ago
That's true, A) customer churn or C) customer loan default would be more categorical.
upvoted 0 times
...
Sue
2 years ago
I agree, D) the purchase value of an offer makes sense for a continuous outcome.
upvoted 0 times
...
...
Ligia
2 years ago
I think it could also be acceptance of an offer, depending on the context of the predictive model being developed.
upvoted 0 times
...
Trina
2 years ago
I believe the outcome value could also represent customer loan default, as it is a continuous model type.
upvoted 0 times
...
Thaddeus
2 years ago
Hmm, I'm not sure. I was thinking B) acceptance of an offer might be right, but D) makes more sense for a continuous model.
upvoted 0 times
...
Ty
2 years ago
I agree with Eliseo, it makes sense that the outcome value could be related to the purchase value.
upvoted 0 times
...
Jarod
2 years ago
I think the correct answer is D) the purchase value of an offer. Continuous models are used to predict numerical outcomes, not binary ones like churn or acceptance.
upvoted 0 times
Kristel
2 years ago
Yes, that's correct. Continuous models are used to predict numerical values like purchase amounts.
upvoted 0 times
...
Ashley
2 years ago
I agree, D) the purchase value of an offer makes sense for a continuous model.
upvoted 0 times
...
...
Eliseo
2 years ago
I think the outcome value can represent the purchase value of an offer.
upvoted 0 times
...

Save Cancel