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15.13. Validation Method

Applies to: NeuralTools, all releases

Does NeuralTools use K-fold Cross Validation?

"K-fold Cross Validation" is a method of assessing the accuracy of predictions of a trained net. NeuralTools relies on the more standard "holdout validation" to accomplish this — it sets aside part of the data for testing before training.

Added in NeuralTools 6.0.0, the Testing Sensitivity Analysis feature is also a form of cross validation.

Last edited: 2017-03-08

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