Sentence examples for considerably higher accuracy from inspiring English sources

Several of the circadian clock state variable trajectories could be predicted with considerably higher accuracy in classical metamodelling using N-way HC-PLSR compared to the global NPLSR.

Both applied genomic selection procedures had a considerably higher accuracy to predict Septoria tritici blotch resistance than the association mapping approach.

The test set prediction results from the hierarchical inverse metamodelling shown in Figure 8A indicated that the two input parameters k 1 (rate constant for entry of the Per-Cry complex into the nucleus) and k 3 (rate constant for the formation of the Per-Cry complex) were predicted with considerably higher accuracy in the hierarchical metamodelling compared to the global metamodelling.

We observed that we could obtain a considerably higher accuracy of classification of group II alternatively spliced exons in H if we considered a negative set that was composed of constitutive exons in both H and IMR90, rather than just H with an improvement in maximal accuracy of approximately 4%.

Line W1 achieved a considerably higher accuracy than lines B1 and B2, because the validation animals for this line had somewhat stronger links with the training animals of the line itself, the trait had a heritability that was ~0.1 higher compared to B1 and B2, and it was more inbred, as commonly observed for white compared to brown layer lines e.g. [ 45].

Differences between models were generally small except for RRPCA which gave considerably higher accuracies for B2.

In general, Random Forest performs better in capturing the mean statistics of the training data, but may suffer from overfitting the training data: as a sign of this Random Forest tends to produce considerably higher accuracies against training than test data.

In 2001, Meuwissen et al. [ 3] showed by simulation that genome-wide dense markers can adequately be used to estimate breeding values with a considerably high accuracy.

We also showed that considerably high accuracy can be obtained by using only a few types of HMs, including H3K36me3, H3k9me3 and H4K20me1, to learn logistic regression models, which implies that several types of HMs dominate the effect on CE inclusion.

Response times were considerably higher and accuracy lower in the hard subtraction – hard text entry condition than in the other conditions.

Considerably higher imputation accuracy was observed when a selected reference set with a high genetic relationship to target animals was used vs. a random reference set of the same size (0.96 vs. 0.88, respectively).