Sentence examples for misclassification error is from inspiring English sources

The experimental results demonstrate that the misclassification error is very small between the proposed result and hand drawing.

Furthermore, from Figures 11, 12, 13, and 14, we observe that for the same R value, if M is increased from 1 to 10, the total misclassification error is decreased for most cases tested.

Compared to more conventional learning algorithms where misclassification error is generally used as an important criterion for model training and learning patterns, defining a corresponding criteria for training Deep Learning algorithms with Big Data is unsuitable since most Big Data Analytics involve learning from largely unsupervised data.

However, this misclassification error is felt to have a random effect, not systematically altering the donation dates to be earlier or later.

2 The misclassification error is weighted.

Misclassification error is possible, since we used ICD-9 codes to identify our study cohort.

Once misclassification error was found to be sufficiently low, genotyping yielded seven near-complete profiles (33 of 34 AIM-SNPs) that in four cases gave probabilities providing a clear assignment of ancestry.

Globally, misclassification error was 0.053.

A maximum acceptable cross-validated misclassification error was defined as ≤ 10%.

The statistical significance of misclassification error was determined using random permutation of samples (N = 1,000).

Owing to the limited number of samples, the misclassification error was estimated by leave-one-out cross-validation (LOOCV).