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Concept
ROC Curve
The
ROC curve
is a
graphical plot
used to evaluate the
performance of a binary classification model
by illustrating the trade-off between the
true positive rate
and the
false positive rate
at various
threshold settings
. A model with a curve closer to the
top-left corner
indicates
better performance
, with the
area under the curve
(AUC) being a single
scalar value
summarizing the
overall ability of the model
to
distinguish between classes
.
Relevant Degrees
Probability and Statistics 70%
Computer Science and Data Processing 30%
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