<p>Symbols: TSS = True skill statistics, AUC = Area under the curve.</p><p>Model validation statistics.</p
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
Characteristics of the validations of the nine most frequently validated prediction models.</p
<p>Validation of the simulation models (comparison of simulation output with the results of the time...
<p>Boxplots are shown for each modeling approach used (GBM, Maxent and RF) and compiled for all 500 ...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>The resulting c-statistics (AUC = 0.786) did not significantly differ from the training models’ A...
<p>*Values are significantly different from random prediction (One-Sample t-test, p < 0.01, One-Samp...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>Mean True Skilled Statistic (TSS) values ± their standard deviation obtained for each species in ...
Pooled C statistics of the validations of the nine most frequently validated prediction models.</p
The dots represent each probability score. The blue lines are the regression lines through the dots ...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk pr...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
Characteristics of the validations of the nine most frequently validated prediction models.</p
<p>Validation of the simulation models (comparison of simulation output with the results of the time...
<p>Boxplots are shown for each modeling approach used (GBM, Maxent and RF) and compiled for all 500 ...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>The resulting c-statistics (AUC = 0.786) did not significantly differ from the training models’ A...
<p>*Values are significantly different from random prediction (One-Sample t-test, p < 0.01, One-Samp...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>Mean True Skilled Statistic (TSS) values ± their standard deviation obtained for each species in ...
Pooled C statistics of the validations of the nine most frequently validated prediction models.</p
The dots represent each probability score. The blue lines are the regression lines through the dots ...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk pr...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
Characteristics of the validations of the nine most frequently validated prediction models.</p
<p>Validation of the simulation models (comparison of simulation output with the results of the time...
DOI
Add to ORKG