Sentence examples for using a feature subset from inspiring English sources

First the number of features is reduced by eliminating the less relevant features using a forward selection method based on a ranking criterion and then backward feature elimination is applied using a feature subset selection method, as explained next.

Further statistical analysis of the data was performed in J-Expresspro using a feature subset selection algorithm (FSS) for two unpaired groups comparison with following parameters: P value was selected for score method, individual ranking of the genes was performed and fold change values were log(2) transformed.

The genetic search is used to find a feature subset that maximizes that correlation and minimizes that redundancy.

A wrapper (deterministic or randomised) measures the predictive power of a feature subset by using a classification model which a repetitive selection scheme is wrapped around [ 18, 19].

Using this method, we can obtain a feature subset R which yields reasonably small amount of error on trained dataset.

Applying SVM with a feature subset selection method we used a set of 16 miRNAs to differentiate melanoma patients and healthy blood donors with high accuracy (97.4%).

4. Submit a feature subset of neighbors to the classifier and use accuracy as fitness: the feature subset created for each neighbor is submitted to the classifier, and accuracy is stored as the neighbor's fitness.   5.

Submit a feature subset of food sources to the classifier and use accuracy as fitness: the feature subset of each food source is submitted to the classifier, and accuracy is stored as the fitness of food source.

An SVM model for meter classification is built on each training split using the feature subset.

Additionally, each food source stores its quality (fitness), which is given by the accuracy of the classifier using the feature subset indicated by the bit vector.

For the chromosome 12 dataset classification trees using a subset of features and regression trees identified low SINE repeat density but not L1 domain related features with silencing efficiency (Additional files 8 and 9).