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Pegasystems PEGACPDS88V1 Exam - Topic 3 Question 44 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 44
Topic #: 3
[All PEGACPDS88V1 Questions]

To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity, Performance and Evidence. The performance of an Adaptive Model that has not collected any evidence is_________.

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Suggested Answer: C

When an adaptive model has not collected any evidence, its performance is 0.5, which means that it has no predictive power and is equivalent to a random guess. As more evidence is collected, the performance can increase or decrease depending on how well the model predicts customer behavior. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview


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Talia
1 day ago
Wait, how can it be null? That seems off to me.
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Alva
6 days ago
I agree with Nathan, B) null makes the most sense.
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Percy
11 days ago
I think it's C) 0.5, seems like a neutral starting point.
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Nathan
17 days ago
It's definitely B) null. No evidence means no performance.
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Carolann
22 days ago
B) null is the only logical choice here. Can't have a real performance without data.
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Kasandra
27 days ago
D) 0.0 is the way to go. No evidence means no performance.
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Brock
2 months ago
I'm going with B) null. Anything else would be just a guess.
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Kip
2 months ago
C) 0.5 seems like a reasonable default value for performance when there's no data.
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Juliana
2 months ago
D) 0.0 makes the most sense to me. If there's no evidence, the performance should be zero.
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Jovita
2 months ago
I think the answer is B) null. Without any evidence, the performance should be unknown.
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Barney
2 months ago
I feel like it should be 1-0, but that doesn’t seem right without any evidence. Maybe it really is just 0.0?
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Twana
2 months ago
I’m a bit confused; I thought performance without evidence could be considered 0.5, but now I’m second-guessing myself.
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Louvenia
3 months ago
I remember a similar question where we discussed how performance metrics can be affected by the absence of data. Could it be 0.0?
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Hermila
3 months ago
I think the performance might be null since there's no evidence to base it on, but I'm not entirely sure.
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Glenna
3 months ago
I'm a little confused by the wording here. What does it mean for the Adaptive Model to not have collected any evidence? Isn't the evidence kind of the whole point of the model? I'll have to think this through carefully.
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Shantay
3 months ago
Okay, I've got this. The question is asking about the performance of the Adaptive Model when it hasn't collected any evidence. That means the model hasn't had a chance to learn or make any predictions, so the performance should be 0.0.
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Regenia
3 months ago
Hmm, this seems like a tricky one. I'm not totally sure what the Adaptive Model is or how it works, so I might need to spend some time thinking through the concepts before I can decide on an answer.
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Mireya
3 months ago
I think I'll start by carefully reading through the question to make sure I understand the key terms and what it's asking. The Adaptive Model produces three outputs, so I'll need to think about how those relate to the performance when no evidence has been collected.
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