Variable coefficients (Coef), standard errors (SE) shown for categorical variable vegetation and estimated degrees of freedom (edf) for continuous variables. The receiver operating characteristic area under the curve (ROC AUC) value for each model is shown in parentheses.</p
<p>AUC refers to Area under the Curve Statistic. The subscript “Full” refers to using all data where...
Effective degrees of freedom (edf) is a measure of wiggliness of a smoother (a linear relationship o...
The dependent variable in each model is the ratio of the pollutant parameter measured at the compari...
<p>ROC score, sensitivities and specificities indicate averages over all model repetitions. Standard...
<p>Performance of individual models (boxplots) showing the AUC<sub>median</sub>, two hinges (first a...
Representation of model selection for the best environmental variables to explain trait variation de...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>Models were validated using background data (a) from the entire region, and (b) from within the m...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
<p>Average area under the curve of the receiver operator characteristic (AUC) for each species (mean...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
*<p>Parameters in bold have significant coefficients (<i>p</i><0.05). For the forest biome study, el...
<p>Δdf and ΔDeviances describe the differences between paired models (GAMs), with negative values in...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>AUC refers to Area under the Curve Statistic. The subscript “Full” refers to using all data where...
Effective degrees of freedom (edf) is a measure of wiggliness of a smoother (a linear relationship o...
The dependent variable in each model is the ratio of the pollutant parameter measured at the compari...
<p>ROC score, sensitivities and specificities indicate averages over all model repetitions. Standard...
<p>Performance of individual models (boxplots) showing the AUC<sub>median</sub>, two hinges (first a...
Representation of model selection for the best environmental variables to explain trait variation de...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>Models were validated using background data (a) from the entire region, and (b) from within the m...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
<p>Average area under the curve of the receiver operator characteristic (AUC) for each species (mean...
<p>The methods of evaluation used were AUC, Kappa and TSS. The difference in performance between mod...
*<p>Parameters in bold have significant coefficients (<i>p</i><0.05). For the forest biome study, el...
<p>Δdf and ΔDeviances describe the differences between paired models (GAMs), with negative values in...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>AUC refers to Area under the Curve Statistic. The subscript “Full” refers to using all data where...
Effective degrees of freedom (edf) is a measure of wiggliness of a smoother (a linear relationship o...
The dependent variable in each model is the ratio of the pollutant parameter measured at the compari...