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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.
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Another advantage of feature selection is a better interpretability of a classification model based on lesser features.
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.
Sparse CCA and smooth or regularized CCA are two widely used variants of CCA because of the improved interpretability of the former and the better performance of the later.
A second advantage of discretization is that it contributes to the interpretability of the machine-learning results, as people can better understand the connection between different ranges of values and their impact on the learned target [3, 13].
It also aids interpretability of the results.
These different cut values impact the interpretability of the results.
This rotation improves the interpretability of the principal components.
Another advantage is the interpretability of the mappings using visualizations as shown in Figure 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com