Applies to: NeuralTools, all releases

Does NeuralTools Use K-Fold Cross Validation?

 

Answer

NeuralTools does not use K-fold cross validation. Instead, it relies on the more standard holdout validation method:

• Part of the dataset is set aside for testing before training the neural network.

• This allows NeuralTools to assess the predictive accuracy of the trained model without K-fold splitting.

Additional Note

• Starting with NeuralTools 6.0.0, the Testing Sensitivity Analysis feature provides another form of cross validation.

• While not traditional K-fold validation, it allows users to evaluate model robustness and performance.

Summary

• Validation method: Holdout validation

• K-fold CV: Not used

• Alternative: Testing Sensitivity Analysis (NeuralTools 6.0+)