Sentence examples for models achieved a from inspiring English sources

In this study, multivariate prediction models achieved a higher level of accuracy than narrow-band vegetation indices, making multivariate modeling the best choice for mapping.

These findings denote that many of the models achieved a higher F1 in the absence of this threshold, however this result does not indicate that this threshold metric is inferior to the other choices.

The SVM models achieved a Spearman correlation of 0.54 between measured RC and pRC.

None of the models achieved a successful description of the additivity.

All logistic regression models achieved a rho-square between 0.20 and 0.40 suggesting they were very good (fitting) models for predicting job satisfaction.

By comparison, both GRS-DQ2.5 and GRS-DQ2.5-imputed models achieved a ratio of approximately 2 1 at the same sensitivity as DQ2.5-zygosity.

Logistic models achieved an overall prediction success rate of around 90percentnt with contrast weighted visual magnitude being a key variable.

A consensus model based on this decision tree and two SVM models achieved an accuracy of 79.6 ± 0.2 % for the whole set.

We found that only one of the 50 resulting models achieved an R2 greater than the L1 13-gene model (i.e., P = 0.02) (Table 8).

It can be seen that all models achieved an acceptable discrimination (an AUC greater than 0.70) both in the development and the validation set.

Recently published machine learning models achieved an area under receiver operating characteristic curve (AUC) around 0.85 0.95 for Class I HLAs and 0.75 0.85 for Class II HLAs.