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Platt scaling
Carolin Hainke edited this page Feb 25, 2018
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- transforms output from a classification model to a probability distribution over classes
- fits a logistic regression model to a classifier's score
- estimates probability P(y=1|x), even though the classifier does not provide this probability:
- P(y=1|x)= 1 / 1 + exp (A f(x) + B)
- A and B