Home → Techniques and Tips → NeuralTools → 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