Review the
similarity examples and scores that the system provides during solution training to see how
the selected alert record compares to existing alert records. For example, you can modify
the similarity score threshold to increase the accuracy of your similarity
recommendations.
About this task
Adjust the current threshold to provide useful results.
For example, a low similarity score has more coverage but less precision.
Procedure
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Navigate to .
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In the ML Solutions list, locate your solution and click the Information icon
(
).
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Click Open Record.
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Click the Similarity Examples related link.
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Review the similarity examples
and their threshold scores to determine the accuracy and coverage levels you
want applied to your solution similarity results.
The higher the similarity score, the more precise it is and the less coverage
it offers. The lower the similarity score, the more coverage it has and the less
precision it offers.
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Based
on your review, determine whether to increase or decrease the similarity score
threshold value for your similarity solution
The solution returns only similarity results that have a
score that is higher than the threshold. If the current threshold is not
providing useful results, adjust the threshold value.
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Navigate to .
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In the ML Solutions list, locate your solution and click the Reference icon
(
).
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Click Open Record.
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In the Solution Statistics tab, enter a new value in the Similarity
Score Threshold field.
For example, suppose that the
current score is 80. Based on your similarity example review, you might want to
update the field by entering a higher score of 90, which will return fewer
results but ones that are more similar to the alert record under review. A lower
similarity score has more coverage but less precision.
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Right-click in the form header and click Save.
Your solution uses the new similarity threshold value. In the example, the
solution returns similar results that have a score higher than 90.