Sentence examples for a classification accuracy for from inspiring English sources

(a) Classification accuracy for MLP NN using FFT and IRS-FFT on uncompressed images.

Furthermore, the rejection of non-confident samples finally led to a classification accuracy of 80% for the three classes.

The results show that a classification accuracy of 96%and96%6% for sensitivity were produced, with a false-positive rate of 0.08 per hour.

To discriminate the other four sugarcane varieties with similar reflectance values, MDA was used producing a classification accuracy of 87.5% for a hold-out set of pixels.

This approach resulted in a classification accuracy of 92% for the differentiation of all three groups and an accuracy rate of 94% for differentiation between AD and FTLD patients.

The best random classifier achieves a classification accuracy of 71.2% for the data set.

BioHEL correctly classified eighteen out of twenty-three samples, giving a classification accuracy of 78.3% for the dataset.

After establishing a cut-off percentage for risky combinatory genotypes in each gene cluster, the 14 gene clusters achieved a classification accuracy of 82.8% for all datasets and 98.9% if the information-short dataset was excluded.

A classification accuracy of 82 ± 7% for PWP group was very similar to the classification accuracy of 82 ± 4% for AB group and was higher than the classification accuracy of 78 ± 5% for PNP group (Fig. 4d).

Next, a classification accuracy of 51.11% was obtained for the distinction between platin-sensitive and platin-resistant disease.

This resulted in a classification accuracy of 97.96% (CI 19%99%%) for the distinction between stage I and advanced stage disease which corresponds to one stage I tumour out of four that was classified as an advanced stage tumour.