Sentence examples for wrapper model from inspiring English sources

The dependent criteria is generally used in wrapper model requiring tuning of data-mining algorithms.

It is a wrapper model which selects useful features in conjunction with the classifier and simultaneously exploits the correlations among multiple views.

Feature selection methods can be classified in three broad categories: filter model [26, 27], wrapper model [28, 29] and hybrid and embedded model [30, 31].

Feature selection methods can be divided into the wrapper model and the filter model [ 27].

The wrapper model uses the predictive accuracy of a mining algorithm to determine the goodness of a selected subset.

Here genetic algorithm based feature selection is a so called wrapper model, which uses the classifier to measure the discriminative power of feature subsets from the extracted components.

Optimization algorithms based on wrapper models show better results but the processes involved in them are time intensive.

Furthermore, two wrapper models, a Binary Search BSS) model and a Sequential Backward Search SBSS) model are utilized to minimize the number of relevant features.

Wrapper models tend to give better results and this model is more precise than the filter model.

The wrapper models perform better, however are computationally expensive and less robust to parameter changes in data-mining algorithms [38 41].

Because of such deficiencies, hybrids of filter and wrapper models also reflect these problems at various levels of feature selection.