Sentence examples for the performance of this classifier from inspiring English sources

The performance of this classifier in the test set is shown in (B).

The objectives of this study were to discover biomarkers that discriminate NSCLC from smokers with ≥10 years of cigarette smoking history, to train and cross-validate a multi-biomarker classifier of NSCLC to meet pre-specified performance criteria, and to verify the performance of this classifier with a separate set of blinded samples.

We have validated the performance of this classifier in an independent test set.

The performance of this classifier was then evaluated by determining accuracy of prediction on the test data set.

However, the validation dataset was not independently generated; so, the performance of this classifier remains to be replicated.

The performance of this classifier was evaluated by running it on the independent test data and obtaining a percentage prediction accuracy value.

An example using the learning basis IRIS, which is a benchmark for classification problems, is presented showing the performances of this classifier.

A leave-one-out cross validation scheme was employed to evaluate the performance of this SVM classifier.

This allows us to measure the performance of the classifier system on articles published during this period.

The inclusion of certain features with the extracted sequences was also analyzed and it was concluded that, in general, this improves the performance of the classifier.

In an attempt to avoid this effect and improve the performance of the classifier, windows of asymmetrical sizes were exploited.