<p>Variable importance for analysis 1 (including proportion of L2 speakers, circles) and analysis 2 (excluding proportion of L2 speakers, triangles).</p
<p>Importance refers to Relative Importance: the proportion of explained variance attributable to ea...
<p>Measures of variable importance, population data not included in the covariates.</p
Variable importance plot showing the decrease in singular value inertia attributable to each predict...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
<p>Measures of variable importance, population data included in the covariates.</p
Overall variable importance for both under and over-predicted areas from the RF model.</p
<p>Variables included in the regression tree analysis and their importance value.</p
Variable importance values for prediction of outcome, using full parent data set (Higher value indic...
<p>a) Soil moisture variable importance related to tree cover. b) Soil moisture variable importance ...
Variable importance (%) for the ensemble species distribution model of each Ceratozamia studied.</p
<p>It can been seen that the most important variables are residue names, followed by non-polar ASA, ...
<p>Variable importance plot showing population density, dengue burden and breeding percentage having...
<p>Variable importance ranked according to the mean decrease in accuracy using the RF OOB samples.</...
<p>Higher values define more important variables. Values higher than 0.50 are in boldface.</p
<p>Variable importance is determined by the ΔAIC between the full model and model with the indicated...
<p>Importance refers to Relative Importance: the proportion of explained variance attributable to ea...
<p>Measures of variable importance, population data not included in the covariates.</p
Variable importance plot showing the decrease in singular value inertia attributable to each predict...
Variable importance measured as the scaled mean decrease in accuracy of each variable in the Baselin...
<p>Measures of variable importance, population data included in the covariates.</p
Overall variable importance for both under and over-predicted areas from the RF model.</p
<p>Variables included in the regression tree analysis and their importance value.</p
Variable importance values for prediction of outcome, using full parent data set (Higher value indic...
<p>a) Soil moisture variable importance related to tree cover. b) Soil moisture variable importance ...
Variable importance (%) for the ensemble species distribution model of each Ceratozamia studied.</p
<p>It can been seen that the most important variables are residue names, followed by non-polar ASA, ...
<p>Variable importance plot showing population density, dengue burden and breeding percentage having...
<p>Variable importance ranked according to the mean decrease in accuracy using the RF OOB samples.</...
<p>Higher values define more important variables. Values higher than 0.50 are in boldface.</p
<p>Variable importance is determined by the ΔAIC between the full model and model with the indicated...
<p>Importance refers to Relative Importance: the proportion of explained variance attributable to ea...
<p>Measures of variable importance, population data not included in the covariates.</p
Variable importance plot showing the decrease in singular value inertia attributable to each predict...
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