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The split criterion Gini is used, which has been proven to be a good choice as explained previously [49] and gave the maximum predictive performance for AhR.
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We show the convex hull of each ROC curve [ 28], which is the maximum achievable predictive performance we can achieve with these classifiers, if we use them stochastically [ 29].
The maximum reduction in predictive performance of both indirect and direct models occurred in the absence of geomorphology map, particularly for soil classes whose presence has direct relationship with geomorphic surfaces.
To assess the predictive performance, we performed two analyses.
Predictive performance of excitation maxima (r = 0.967 0.979) outperformed that of the emission maxima (r = 0.953 0.961).
This distribution is less conservative than the uniform prior distribution (which assumes higher probabilities for extreme associations), and yields estimates that make more sense and have predictive performance better than maximum likelihood estimates [ 29].
BRT models consistently outperform other species distribution models such as maximum entropy (Maxent), GARP, and BIOCLIM in their predictive performance (Elith et al., 2006; Leathwick et al., 2006).
Cross-validation testing R2 values indicate predictive performance, and these were 0.22 0.39 for the maximum R2 models and 0.19 0.36 for the 1SE models.
Surprisingly, we find that omission of GDV similarity matrix of gene Co-Ex network contributes the most to the predictive performance of our algorithm, leading to the maximum of 96% of recovered GO terms.
Predictive performance was judged on the basis of the maximum R2 value.
We see from columns 1 5 of Table 1 that the best predictive performance is obtained when somewhat fewer than the maximum number of PCs is used to compute.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com