Sentence examples for and evaluating the accuracy from inspiring English sources

We estimated the classifier parameters using the training data and the subset of features obtained by feature selection methods varying classifier parameter values and evaluating the accuracy.

This concept was tested by training such a system with a dataset of 2341 molecules and their 1H-NMR spectra, and evaluating the accuracy of chemical shift predictions on a test set of 298 partially assigned molecules (2007 assigned protons).

We estimated α and β coefficients using the test set lesions group, the subset of features retained by feature selection methods, and the optimised classifiers obtained by training data set analysis and evaluating the accuracy of the MCS.

We tested the ability to infer unmeasured expression by constructing regression models for unmeasured genes and evaluating the accuracy of these predictions in independent studies (Fig.  1b).

We therefore concur with the observation made by Kemena (Kemena and Notredame, 2009) that much larger, high quality benchmark MSAs are needed, especially for improving and evaluating the accuracy of high throughput MSA methods.

TripAdvisor.com has more than 250,000 reviews from vacation rental guests, and Homeaway allows guests to post reviews and evaluate the accuracy of its listings on a five-star rating system.

To develop and evaluate the accuracy of a size-determination formula using anterior segment optical coherence tomography (AS-OCT) parameters.

In addition, a new approach is used to better assess the true confidence regions and evaluate the accuracy of the parameters estimates in more reliable way.

To establish a specific hysteroscopic pattern the "glomerular pattern"–to diagnose high-grade endometrial cancer and evaluate the accuracy rate of the pattern, based on final histology.

In particular, spike genes with various contents are spotted in a microarray to examine and evaluate the accuracy of the segmentation results.

First, we trained the model for all classes in the training database with small training samples and then add more samples for each class and evaluate the accuracy of the model when adding more data.