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

UiPath-ABAv1 Exam - Topic 6 Question 46 Discussion

How many samples are recommended to train a custom ML model that has one custom extra field?
C) 20-50 document samples
A) 5-10 document samples
B) 5-20 document samples
D) 50-90 document samples

UiPath-ABAv1 Exam - Topic 6 Question 46 Discussion

Actual exam question for UiPath's UiPath-ABAv1 exam
Question #: 46
Topic #: 6
[All UiPath-ABAv1 Questions]

How many samples are recommended to train a custom ML model that has one custom extra field?

Show Suggested Answer Hide Answer
Suggested Answer: C

To train a custom Machine Learning (ML) model that includes one custom extra field, it is recommended to use between 20 to 50 document samples. This range provides a sufficient amount of data to ensure the model can learn effectively while accommodating the variability introduced by the additional custom field


Contribute your Thoughts:

0/2000 characters
I think I remember reading that for a custom field, you might need at least 20 samples, so I'm leaning towards option C.
upvoted 0 times
...
Natalya
5 days ago
I’m a bit confused; I thought 5-20 was enough for simpler models, but I guess it depends on the complexity of the field.
upvoted 0 times
...
Ronna
10 days ago
I feel like I've seen recommendations that vary widely, but 50-90 seems excessive for just one extra field.
upvoted 0 times
...
Freeman
15 days ago
I think I practiced a question similar to this, and it suggested at least 20 samples, so I might lean towards option C.
upvoted 0 times
...
Timothy
2 months ago
I remember reading that more samples generally lead to better model performance, but I'm not sure how many are really needed for just one extra field.
upvoted 0 times
...

Save Cancel