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 Exam PEGACPDS88V1 Topic 1 Question 29 Discussion

Actual exam question for Pegasystems's PEGACPDS88V1 exam
Question #: 29
Topic #: 1
[All PEGACPDS88V1 Questions]

When compared to a Predictive Model, an Adaptive Model is different as it_____________

Show Suggested Answer Hide Answer
Suggested Answer: C

When using machine learning, the Must keywords function aspositive features.


by Kenneth at Jan 11, 2025, 01:01 PM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel
Shannon
13 days ago
If I had a nickel for every time I saw 'adaptive' and 'predictive' in the same question, I'd have enough to buy the entire exam question pool.
upvoted 0 times
...
Mitsue
14 days ago
Strategy properties as predictors? Sounds like a game of chess, not a data science exam. Option A is way off the mark.
upvoted 0 times
...
Luz
15 days ago
Hah, predictor binning? What is this, a laundry detergent commercial? Option D is clearly a trick answer.
upvoted 0 times
...
Lorenza
16 days ago
I'm not sure about the difference between symbolic and numeric predictors. Option B seems to be a bit too technical for my liking.
upvoted 0 times
...
Kimberlie
1 months ago
Option C seems to be the correct answer. An adaptive model learns from both positive and negative outcomes, unlike a predictive model which may only consider positive outcomes.
upvoted 0 times
Isaiah
8 days ago
That's true, unlike a predictive model which may only consider positive outcomes.
upvoted 0 times
...
Lynette
14 days ago
Yes, an adaptive model learns from both positive and negative outcomes.
upvoted 0 times
...
Casie
16 days ago
I think option C is the correct answer.
upvoted 0 times
...
...
Abel
2 months ago
I believe an Adaptive Model considers both symbolic and numeric predictors as well.
upvoted 0 times
...
Jacqueline
2 months ago
I agree with Margurite. It's important for the model to adapt based on different outcomes.
upvoted 0 times
...
Margurite
2 months ago
I think an Adaptive Model learns from both positive and negative outcomes.
upvoted 0 times
...

Save Cancel