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Concept
Classification Threshold
Classification threshold
is a critical parameter in
binary classification tasks
that determines the point at which a model's
predicted probability
is converted into a
class label
. Adjusting the threshold can significantly impact the
model's precision
, recall, and
overall performance
, making it essential for
optimizing the trade-off
between
false positives
and
false negatives
.
Relevant Degrees
Computer Science and Data Processing 50%
Standards and Measurements 30%
General Science and Intellectual Organization 20%
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