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In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by John Platt in the context of support vector machines,replacing an earlier method by Vapnik,but can be applied to other classification models.Platt scaling works by fitting a logistic regression model to a classifier's scores.

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rdfs:label	Platt scaling (en)
rdfs:comment	In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by John Platt in the context of support vector machines,replacing an earlier method by Vapnik,but can be applied to other classification models.Platt scaling works by fitting a logistic regression model to a classifier's scores. (en)
dcterms:subject	Probabilistic models Statistical classification
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Wikipage revision ID	1072269070 (xsd:integer)
Link from a Wikipage to another Wikipage	Probabilistic models Probabilistic classification Scalar (mathematics) Naive Bayes classifier John Platt (computer scientist) Vladimir Vapnik Levenberg–Marquardt algorithm Maximum likelihood estimation Cross-validation (statistics) Logistic function Machine learning Calibration (statistics) Sign function Numerical stability Additive smoothing Logistic regression Isotonic regression Random forest Relevance vector machine Binary classification Support vector machines Statistical classification Boosting (machine learning) Newton's method in optimization Statistical classification Multilayer perceptron Bayes' rule Overfitting Validation set
sameAs	Platt scaling Platt scaling Platt scaling Platt scaling
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has abstract	In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by John Platt in the context of support vector machines,replacing an earlier method by Vapnik,but can be applied to other classification models.Platt scaling works by fitting a logistic regression model to a classifier's scores. (en)
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is Link from a Wikipage to another Wikipage of	Probabilistic classification John Platt (computer scientist) Machine learning Calibration (statistics) Relevance vector machine Support vector machine Platt calibration Platt calibrator
is Wikipage redirect of	Platt calibration Platt calibrator
is foaf:primaryTopic of	wikipedia-en:Platt_scaling

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