Sentence examples for classification difficulties from inspiring English sources

The language phylogenies appropriately represent classification difficulties with larger groups too.

The classification difficulties of expert raters and of proposed automatic classification methods reflect the fundamental fact that any ICA-based artifact reduction method depends crucially on the quality of the source separation into clear artifactual and neuronal source components.

According to the norm-referenced MS risk classification (Difficulties, Risk, Normal, Good, High), the proportion of children suspected of being at-risk or having motor coordination difficulties were higher than expected for motor coordination (23.5% versus 16%), but lower for the aiming and catching performance (9% versus 16%).

The MicroArray Quality Control (MAQC MAQCQConsortiumum project-II: a comprehensive study of common practices for the development and validation of microarray-based predictive models) breast cancer data set (Table 1) offers a unique opportunity to study the performance of genomic classifiers when applied across a range of classification difficulties.

Next, we present a summary of the meta-data and geometrical measures we use to assess classification difficulty.

Although classification difficulty is hard to define precisely, it can be observed that problems involving classes with a smaller degree of abstraction are usually much more difficult than others.

The obtained ranking implies that the three endpoints represent different degrees of classification difficulty.

Predictor performance is determined largely by an interplay between training-sample size and classification difficulty.

The prediction endpoint (that is, classification difficulty) had the greatest effect on the cross-validation AUC.

Figure 3 clearly shows that the variability of the estimated classification performance increases as the level of classification difficulty increases.

We showed that genomic predictor accuracy is determined largely by an interplay between sample size and classification difficulty.