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Last update: February 19, 2014


Logistic Threshold

For classification models, GeneXproTools allows you to choose different kinds of rounding thresholds, including fixed and adaptive thresholds. Logistic regression models, however, use only one type of threshold - the Logistic Threshold, which is an adaptive parameter of the logistic regression model.

The Logistic Threshold is also used in classification models and is evaluated using the same logistic regression algorithm that is used for logistic regression. In both cases, the number of bins is an adjustable parameter.

When logistic regression runs are converted to classification, the logistic threshold is set by default, thus keeping the original model thresholds for all the models in the run History. Note, however, that the only way to keep the original thresholds when converting classification runs to logistic regression, is when you also create the classification models with the logistic threshold, as GeneXproTools updates all the rounding thresholds when converting classification runs to logistic regression.

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 Released February 19, 2014

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