Sentence examples for generalization estimate from inspiring English sources

10-fold stratified cross-validation is used to obtain a better generalization estimate of the performance.

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

The problems we considered include cases for which the codes were not optimized in their initial design, allowing thus to analyze the potential for generalization and/or estimate possible improvements to broaden the scope of application of the codes.

The objective of this paper is to investigate the generalization of estimates, that is, regularity estimates in Orlicz spaces, for the following parabolic polyharmonic problems: (1.1).

The core of the proposed DSS was a Probabilistic Neural Network classifier and was evaluated on 140 rare brain cancer cases, regarding its ability to predict tumors' malignancy, using a panel of 20 morphological and textural features Generalization was estimated using an external 10-fold cross-validation.

They must be free of generalizations and estimates, and be written to ensure the variability of responses.

However, this has the effect of improving the generalization of the estimate.

To estimate generalization performance on future cases, we first defined independent train and test sets by randomly choosing 70% of samples for training and optimizing the classifiers, and then we tested the classifiers on the remaining 30% of the samples.

We also show that the CBPS can be extended to other important settings, including the estimation of the generalized propensity score for non-binary treatments and the generalization of experimental estimates to a target population.

To eliminate bias of error estimation, CVs are repeated multiple times and the estimated generalization errors are averaged over the repetitions.

The performance of this approach was tested using a cellular database that contained more than 1000 samples of 3 predefined cellular phenotypes, and the generalization error was estimated using a cross-validation technique.