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Exam UiSAIv1 topic 1 question 9 discussion

Actual exam question from UiPath 's UiSAIv1
Question #: 9
Topic #: 1
[All UiSAIv1 Questions]

While training a UiPath Communications Mining model, the Search feature was used to pin a certain label on a few communications. After retraining, the new model version starts to predict the tagged label but infrequently and with low confidence.
According to best practices, what would be the correct next step to improve the model's predictions for the label, in the "Explore" phase of training?

  • A. Use the "Rebalance" training mode to pin the label to more communications.
  • B. Use the "Teach" training mode to pin the label to more communications.
  • C. Use the "Low confidence" training mode to pin the label to more communications.
  • D. Use the "Search" feature to pin the label to more communications.
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Suggested Answer: B 🗳️
by Vicente23 at Jan. 11, 2025, 1:19 p.m.

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Vicente23
3 weeks, 3 days ago
Selected Answer: B
The best method for training the platform on the instances where it struggles to predict whether a label applies or not, is using 'Teach' for unreviewed messages. As this mode shows you predictions for a label with confidence scores ranging outwards from 50% (or 66% in the case of a sentiment-enabled dataset), accepting or correcting these predictions sends much more powerful training signals to the model than if you were to accept predictions with confidence scores of 90% or more. In this way, you can quickly improve the performance of a label by providing varied training examples that the platform was previously unsure about.
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