Sentence examples for model generalization error from inspiring English sources

The bootstrap is a powerful method offering a low variance of the model generalization error estimate.

Also, when designing an ensemble for an MDSS, the decision to diversify the model selection should be guided by the relationship between model instability and generalization error for the population of models under consideration.

The IWE model had lowest generalization error with highest F1 scores.

Information criterion methods, which aim to determine which set of model parameters the data support best, penalize models with more unknown parameters in order to select a model with a lower generalization error and hence more reproducible results [ 15].

The initial localized generalization error model (LGEM) aims to find an upper bound of error between a target function and a radial basis function neural network (RBFNN) within a neighborhood of the training samples.

The model that has a smaller generalization error value is determined to be the better model, based on its higher predictive performance for the unknown data.

These characteristics enable to approximate complex functions with a generally low generalization error.

The choice of this equation was a tradeoff between simplicity and predictability performed due to the fact that complexity of rpg models found closer to the best generalization error was increased exponentially and the resulting models were over fitted.

The typical criteria attempt to reduce the generalization error of a model by minimizing either its estimation variance or estimation bias.

This evaluation criterion may suffer from the variance in training data with a limited sample size and result in unstable generalization error when the trained model is applied to an unknown dataset.

Cross validation is a well known method that provides a reasonable estimate of the generalization error of a prediction model.