<p>Mean and standard deviation of the feature importance (Feat. Imp.) as derived from the Ranking Forest algorithm.</p
<p>Mean Ranking Order and Standard Deviation for Plastic Animals and Foods (Experiment 2).</p
Mean coding and Kruskal-Wallis rankings (standard deviations) for the techniques in the behavioural ...
The mean OOB error for RFs constructed without length (-L OOBM) and their standard deviation (-L OOB...
<p>Highest values of the importance measure are associated with a higher discriminating power.</p
<p>Random Forest Feature Importance Measured by the Mean Decrease in Gini Coefficient</p
Mean value, standard deviation, RII and rank of each factor based on the type of respondent.</p
<p>Ranking given according to features importance computed in the course of training. The decrease i...
Relative importance for the top 50 study features sorted by mean absolute SHAP value.</p
<p>Attribute importance (average of 11 decision trees; C5.0 algorithms used splits) for the imputed ...
<p>Model parameter feature importances as estimated by a random forest regression over a broad surve...
Feature ranking of the machine learning algorithms; a lower number indicates a greater importance.</...
For Lasso and Elastic Net we report their regression coefficients (red for negative values and blue ...
<p>Mean value and standard deviation of the 44 features that were used in the best human model.</p
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
Performance indicators for variable forecasting based only in the most important variables using ran...
<p>Mean Ranking Order and Standard Deviation for Plastic Animals and Foods (Experiment 2).</p
Mean coding and Kruskal-Wallis rankings (standard deviations) for the techniques in the behavioural ...
The mean OOB error for RFs constructed without length (-L OOBM) and their standard deviation (-L OOB...
<p>Highest values of the importance measure are associated with a higher discriminating power.</p
<p>Random Forest Feature Importance Measured by the Mean Decrease in Gini Coefficient</p
Mean value, standard deviation, RII and rank of each factor based on the type of respondent.</p
<p>Ranking given according to features importance computed in the course of training. The decrease i...
Relative importance for the top 50 study features sorted by mean absolute SHAP value.</p
<p>Attribute importance (average of 11 decision trees; C5.0 algorithms used splits) for the imputed ...
<p>Model parameter feature importances as estimated by a random forest regression over a broad surve...
Feature ranking of the machine learning algorithms; a lower number indicates a greater importance.</...
For Lasso and Elastic Net we report their regression coefficients (red for negative values and blue ...
<p>Mean value and standard deviation of the 44 features that were used in the best human model.</p
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
Performance indicators for variable forecasting based only in the most important variables using ran...
<p>Mean Ranking Order and Standard Deviation for Plastic Animals and Foods (Experiment 2).</p
Mean coding and Kruskal-Wallis rankings (standard deviations) for the techniques in the behavioural ...
The mean OOB error for RFs constructed without length (-L OOBM) and their standard deviation (-L OOB...
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