ExamTopics Logo
Mail Us[email protected]
Menu
Ibm Discussions
exam questions

Exam C7020-230 All Questions

View all questions & answers for the C7020-230 exam
Go to Exam

Exam C7020-230 topic 1 question 17 discussion

Actual exam question from IBM's C7020-230
Question #: 17
Topic #: 1
[All C7020-230 Questions]

When is it appropriate to include multiple classes for a sample text in the training data for IBM Watson Natural Language Classifier?

  • A. When text is very detailed such that identifying a single class may cause inaccuracies.
  • B. When experts interpret the same text in different ways, multiple classes support those interpretations.
  • C. When the text utterances are very similar in nature and we want to mark slight differences using classes
  • D. When the classifier has been retrained and we want to preserve old classes from a previous training set.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
Reference:
https://www.ibm.com/watson/developercloud/doc/natural-language-classifier/using-your-data.html#structure-of-training-data
(guidelines for good
training)
by zelesu at April 5, 2025, 9:54 a.m.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
Currently there are no comments in this discussion, be the first to comment!
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
exam
Someone Bought Contributor Access for:
SY0-701
London, 1 minute ago