<p>Higher values define more important variables. Values higher than 0.50 are in boldface.</p
Variable importance values for prediction of outcome, using full parent data set (Higher value indic...
Importance of population characteristics and comparative probabilities of the top six important clas...
<p>In the developed ANN model, 32 variables are used and their relative importance is calculated bas...
<p>Coefficients represent the relative importance of the explanatory variables (the sum of coefficie...
<p>Signs indicate the sense of the effect of the variables included in the model. The number of sign...
<p>Model-averaged estimates for the explanatory variables present in the 11 top models of probabilit...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
<p>The best models for each dependent variable (with higher wt) are shown in bold. Abbreviations: ΔA...
<p>The best-fitting models were determined by comparing AIC values among models that considered all ...
<p><i>Importance</i>-variable importance calculated as one minus the correlation between the model o...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>Relative importance was calculated by summing the corrected Akaike Weights (c<i>w<sub>i</sub></i>...
<p>Model-averaged estimates for the explanatory variables present in the six top models of corrected...
<p>Importance refers to Relative Importance: the proportion of explained variance attributable to ea...
Variable importance values for prediction of outcome, using full parent data set (Higher value indic...
Importance of population characteristics and comparative probabilities of the top six important clas...
<p>In the developed ANN model, 32 variables are used and their relative importance is calculated bas...
<p>Coefficients represent the relative importance of the explanatory variables (the sum of coefficie...
<p>Signs indicate the sense of the effect of the variables included in the model. The number of sign...
<p>Model-averaged estimates for the explanatory variables present in the 11 top models of probabilit...
<p>Selected model coefficients, confidence interval and relative importance of the variables used.</...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
<p>The best models for each dependent variable (with higher wt) are shown in bold. Abbreviations: ΔA...
<p>The best-fitting models were determined by comparing AIC values among models that considered all ...
<p><i>Importance</i>-variable importance calculated as one minus the correlation between the model o...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>Relative importance was calculated by summing the corrected Akaike Weights (c<i>w<sub>i</sub></i>...
<p>Model-averaged estimates for the explanatory variables present in the six top models of corrected...
<p>Importance refers to Relative Importance: the proportion of explained variance attributable to ea...
Variable importance values for prediction of outcome, using full parent data set (Higher value indic...
Importance of population characteristics and comparative probabilities of the top six important clas...
<p>In the developed ANN model, 32 variables are used and their relative importance is calculated bas...