Sentence examples for better interpretability of from inspiring English sources

Another advantage of feature selection is a better interpretability of a classification model based on lesser features.

This improves the power for detecting perturbations during the onset and the progression of comorbidity, and allows for better interpretability of the dynamics at different time spans.

However, some advantages of CSM approach compared to ConMap and ConStat are i) a reduced set of scales that still manage to represent the entire extent of the range of scales, ii) a reduced set of attributes at each scale, iii) more efficient computation, and iv) better interpretability of the important covariates used in the modelling and thus of the factors that affect soil formation.

To allow for a better interpretability of the results reached in those Cox regression analyses, for each of the two response variables (OS, DFS) only factors showing a p-value of ≤ 0.1 in the corresponding univariate log-rank analysis were incorporated as independent variables in the according Cox regression models.

Subtypes were also fully characterized for better interpretability, which included the identification of enriched biological pathways, cranial base discriminating features, and, to a more limited extent, correlated clinical traits.

We therefore selected (M_{25}) for annotation, as this model has a better interpretability compared to (M_{14}) (more specific topics), with comparable quality of model fit (similar AIC).

This algorithm has better interpretability like many other NMF-based methods.

Therefore, in this study an attempt has been made to determine geomorphological parameters and to study the intercorrelationship (multicollinearity) among variables to screen out the less significant variables out of the analysis and to arrange the remaining into physically significant groups by applying principal component analysis for better interpretability.

Factors were rotated using varimax rotation to achieve uncorrelated factors with better interpretability.

In order to obtain more realistic models with better interpretability, several classification models have been proposed.

22 For better interpretability, we present predicted scores and differences (from observed) that are back transformed to percentages.