<p>ROC score, sensitivities and specificities indicate averages over all model repetitions. Standard deviation of the ROC score estimates for the validation data sets ranges from 0.01 to 0.03 for GLM and GAM based models and from 0.01 to 0.02 for RF. The “ROC score change” is the difference between the mean ROC for the models based on climatic factors and the mean ROC for models considering climatic, topographic and hydromorphologic predictors (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040530#pone-0040530-t003" target="_blank">Table 3</a>).</p
<p>Note.–*The data in parentheses are 95% confidence intervals.</p>†<p>Sensitivity and specificity f...
<p>K: number of parameters in the model; AICc: the corrected Aikaike Information Criterion; ΔAICc: d...
The authors analyze the performance of 22 Intergovernmental Panel on Climate Change (IPCC) global cl...
Variable coefficients (Coef), standard errors (SE) shown for categorical variable vegetation and est...
<p>Traditional and modified ROC AUC values for GARP and Maxent models trained and tested with indepe...
<p>ROCR of different models are plotted. The legend lists the number of features, AUC and sensitivit...
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
<p>Sensitivity and specificity of glm models built from probability scores obtained from LASSO, Elas...
A multicriteria score-based method was developed to assess the performances of 18 general circulatio...
<p>Areas under ROC curves were 0.86 and 0.68 for ANN and LR models, respectively. Area under ROC cur...
<p><b>A.</b> Comparison of the predictive accuracy of three prognostic models: ANFIS together with G...
<p>ROC analyses presented are for an upper limb (UL) score of ≤ 1 at day 7 and a modified Rankin Sca...
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
<p>Table values indicate mean expected loss and gain (percentage of suitable cells) as compared to t...
<p>Note.–*The data in parentheses are 95% confidence intervals.</p>†<p>Sensitivity and specificity f...
<p>K: number of parameters in the model; AICc: the corrected Aikaike Information Criterion; ΔAICc: d...
The authors analyze the performance of 22 Intergovernmental Panel on Climate Change (IPCC) global cl...
Variable coefficients (Coef), standard errors (SE) shown for categorical variable vegetation and est...
<p>Traditional and modified ROC AUC values for GARP and Maxent models trained and tested with indepe...
<p>ROCR of different models are plotted. The legend lists the number of features, AUC and sensitivit...
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
<p>Sensitivity and specificity of glm models built from probability scores obtained from LASSO, Elas...
A multicriteria score-based method was developed to assess the performances of 18 general circulatio...
<p>Areas under ROC curves were 0.86 and 0.68 for ANN and LR models, respectively. Area under ROC cur...
<p><b>A.</b> Comparison of the predictive accuracy of three prognostic models: ANFIS together with G...
<p>ROC analyses presented are for an upper limb (UL) score of ≤ 1 at day 7 and a modified Rankin Sca...
<p>The solid curve is the ROC curve for the prediction model established on the basis of the trainin...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
<p>Table values indicate mean expected loss and gain (percentage of suitable cells) as compared to t...
<p>Note.–*The data in parentheses are 95% confidence intervals.</p>†<p>Sensitivity and specificity f...
<p>K: number of parameters in the model; AICc: the corrected Aikaike Information Criterion; ΔAICc: d...
The authors analyze the performance of 22 Intergovernmental Panel on Climate Change (IPCC) global cl...