<p>Gray bars indicate how well the model performs with only that variable, versus a full model. Values shown are averaged over 100 replicate MaxEnt model runs.</p
<p>The figure shows the development of the mean AUC on the test set depending on the amount of avail...
<p>Model estimates for densities of adult females by study site; grey bars represent 95% CI calculat...
<p>Grey bars indicate variables for which the 95% confidence interval of the effect size does not in...
<p>Training gain for each predictor variable alone (black) and the loss in training gain when the va...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>Gain or performance from univariate models: – (<0.25),–(0.25–0.5), *(above 0.5), **(above 0.75) a...
<p>(<b>A</b>) Performance of the subjects (black line) and of the model without the memory and downs...
<p>(<b>A</b>) Performance of the subjects (black line) and of the complete model (gray line) as a fu...
<p>95% CIs are shown in gray bars. All three algorithms reach maximum performance at 50% of the trai...
<p>Gray bars indicate averages in the discrimination task and black bars indicate averages in the id...
<p>The corresponding measurement was represented as the average value ± standard deviation.</p
<p>Curve fitness, for <i>A</i><sub><i>s</i></sub> and <i>nAMPA</i> vs. <i>maxOPEN</i> mean and <i>cv...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
Training and testing curves of proposed model for, (a) Accuracy, and (b) Loss.</p
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>The figure shows the development of the mean AUC on the test set depending on the amount of avail...
<p>Model estimates for densities of adult females by study site; grey bars represent 95% CI calculat...
<p>Grey bars indicate variables for which the 95% confidence interval of the effect size does not in...
<p>Training gain for each predictor variable alone (black) and the loss in training gain when the va...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>Gain or performance from univariate models: – (<0.25),–(0.25–0.5), *(above 0.5), **(above 0.75) a...
<p>(<b>A</b>) Performance of the subjects (black line) and of the model without the memory and downs...
<p>(<b>A</b>) Performance of the subjects (black line) and of the complete model (gray line) as a fu...
<p>95% CIs are shown in gray bars. All three algorithms reach maximum performance at 50% of the trai...
<p>Gray bars indicate averages in the discrimination task and black bars indicate averages in the id...
<p>The corresponding measurement was represented as the average value ± standard deviation.</p
<p>Curve fitness, for <i>A</i><sub><i>s</i></sub> and <i>nAMPA</i> vs. <i>maxOPEN</i> mean and <i>cv...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
Training and testing curves of proposed model for, (a) Accuracy, and (b) Loss.</p
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>The figure shows the development of the mean AUC on the test set depending on the amount of avail...
<p>Model estimates for densities of adult females by study site; grey bars represent 95% CI calculat...
<p>Grey bars indicate variables for which the 95% confidence interval of the effect size does not in...
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