<p>The plot shows how environmental variables can increase or reduce the gain when solely used or omitted. EVI has the highest gain in isolation, and also reduces the gain the most when omitted.</p
<p>A heuristic estimate of the relative contribution of each variable to the global model is given i...
<p>Signs indicate positive or negative effects. Plain cells indicate that only interactions of the t...
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>Bars indicate the explanatory power (in terms of gain) when only a single predictor is included i...
Summary of the Jackknife analysis performed to determine importance of each environmental variable.<...
<p>Each curve represents the regularized training gain of each variable used in isolation for each s...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>The figures show each variable’s contribution to (A) regularized training gain, and (B) test AUC ...
<p>Only the 7 predictors that were ranked in the top three of at least one of the two models are inc...
Blue bar = Shows importance of each variables in explaining the variation in the data when used sepa...
<p>The graph shows the result of the Jackknife test of variable importance using regularized trainin...
<p>The top three environmental variables in terms of relative contributions are highlighted in <b>bo...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>A heuristic estimate of the relative contribution of each variable to the global model is given i...
<p>Signs indicate positive or negative effects. Plain cells indicate that only interactions of the t...
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
<p>Overall relative importance of predictor variables for invasive species from Jackknife test.</p
<p>Bars indicate the explanatory power (in terms of gain) when only a single predictor is included i...
Summary of the Jackknife analysis performed to determine importance of each environmental variable.<...
<p>Each curve represents the regularized training gain of each variable used in isolation for each s...
Jackknife test showing the importance of each variable independently, when building the Maxent model...
<p>The figures show each variable’s contribution to (A) regularized training gain, and (B) test AUC ...
<p>Only the 7 predictors that were ranked in the top three of at least one of the two models are inc...
Blue bar = Shows importance of each variables in explaining the variation in the data when used sepa...
<p>The graph shows the result of the Jackknife test of variable importance using regularized trainin...
<p>The top three environmental variables in terms of relative contributions are highlighted in <b>bo...
<p>Results of Maxent model showing jackknife tests of variable importance for training samples.</p
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
<p>A heuristic estimate of the relative contribution of each variable to the global model is given i...
<p>Signs indicate positive or negative effects. Plain cells indicate that only interactions of the t...
<p>Jackknife tests (%) and the mean feature numbers of the SVM-based predictors for 30 samples.</p
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