<p>The figures show each variable’s contribution to (A) regularized training gain, and (B) test AUC in <i>C</i>. <i>fimbriata</i> model.</p
<p>Jackknife evaluation results of the relative importance of predictor variables shown separately f...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Jacknife analysis for <i>Montipora</i>, <i>Leptoseris</i> and <i>Porites</i> showing the mean AUC...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>The graph shows the result of the Jackknife test of variable importance using regularized trainin...
<p>Each curve represents the regularized training gain of each variable used in isolation for each s...
<p>Only the 7 predictors that were ranked in the top three of at least one of the two models are inc...
<p>The top three environmental variables in terms of relative contributions are highlighted in <b>bo...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>The plot shows how environmental variables can increase or reduce the gain when solely used or om...
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>Bars indicate the explanatory power (in terms of gain) when only a single predictor is included i...
<p>Results of jackknife test of relative importance of predictor variables for Chinese caterpillar f...
<p>Jackknife evaluation results of the relative importance of predictor variables shown separately f...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Jacknife analysis for <i>Montipora</i>, <i>Leptoseris</i> and <i>Porites</i> showing the mean AUC...
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>The graph shows the result of the Jackknife test of variable importance using regularized trainin...
<p>Each curve represents the regularized training gain of each variable used in isolation for each s...
<p>Only the 7 predictors that were ranked in the top three of at least one of the two models are inc...
<p>The top three environmental variables in terms of relative contributions are highlighted in <b>bo...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>The plot shows how environmental variables can increase or reduce the gain when solely used or om...
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>Bars indicate the explanatory power (in terms of gain) when only a single predictor is included i...
<p>Results of jackknife test of relative importance of predictor variables for Chinese caterpillar f...
<p>Jackknife evaluation results of the relative importance of predictor variables shown separately f...
<p>Higher values for the regularized training gain of the jack-knife test indicates greater contribu...
<p>Jacknife analysis for <i>Montipora</i>, <i>Leptoseris</i> and <i>Porites</i> showing the mean AUC...
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