<p>AUC refers to Area under the Curve Statistic. The subscript “Full” refers to using all data whereas “mean” and “sd” refer to mean and standard deviation among subsamples.</p
<p>The AUCs of the ROC curves for the nomogram and variables from the logistic regression model in t...
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>GAM derived effects of depth and year and distribution maps for all cartilaginous species based o...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>The mean area under the curve (AUC) for each Maxent model at both the regional and local scale.</...
<p>AUC: area under the receiver-operating characteristic curve.</p><p>Results of quantitative analys...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
Area under the curve (AUC) for ODE versus CONTROLS in overall groups and in age-split analyses.</p
<p>The area under curve (AUC) measurements of the six methods under various simulation configuration...
AUC values of different combination of feature scores for training and test dataset in a generic pre...
Variable coefficients (Coef), standard errors (SE) shown for categorical variable vegetation and est...
<p>Data and fitted curve obtained by the GSMA model for the simulated species-area relationship.</p
<p>Exponentially transformed AUC values were modelled as a function of spatial resolution, SDM algor...
<p>The AUCs of the ROC curves for the nomogram and variables from the logistic regression model in t...
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>GAM derived effects of depth and year and distribution maps for all cartilaginous species based o...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
<p>The AUC values of the Generalized Linear Models (GLMs) and MaxEnt for each vegetation type.</p
<p>The mean area under the curve (AUC) for each Maxent model at both the regional and local scale.</...
<p>AUC: area under the receiver-operating characteristic curve.</p><p>Results of quantitative analys...
Generalised additive models (GAMs) for predicting total abundance, species richness, and the abundan...
Area under the curve (AUC) for ODE versus CONTROLS in overall groups and in age-split analyses.</p
<p>The area under curve (AUC) measurements of the six methods under various simulation configuration...
AUC values of different combination of feature scores for training and test dataset in a generic pre...
Variable coefficients (Coef), standard errors (SE) shown for categorical variable vegetation and est...
<p>Data and fitted curve obtained by the GSMA model for the simulated species-area relationship.</p
<p>Exponentially transformed AUC values were modelled as a function of spatial resolution, SDM algor...
<p>The AUCs of the ROC curves for the nomogram and variables from the logistic regression model in t...
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>GAM derived effects of depth and year and distribution maps for all cartilaginous species based o...
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