<p>The median relative importance to the model (%) of the various Dent (maternal, red) and Flint (paternal, grey) analytes exhibits an approximately linear decrease along the ranking (right to left).</p
Hierarchical linear model results for individual- and country-level effects on FWC among fathers and...
<p>Solid lines ranging from 15 to 45 y for maternal age, dotted lines ranging from 15 to 65 y for pa...
Relative importance for psychosocial features sorted by mean absolute SHAP value.</p
<p>Parental metabolite levels (224 features in total) are used to predict the observed class labels ...
<p>‘Bad’ and ‘good’ performers were predicted using support vector machines (SVM), each trained with...
<p>Hybrid field performance was predicted using support vector regression models (SVR), each trained...
<p>For each of the top 20 ranked features (ID stands for the feature ...
<p>The model of offspring size initially included developmental stage, female age, condition, and si...
Hierarchical linear model results for individual- and country-level effects on WFC among fathers and...
<p>Ranking of three candidate reference genes in descending order of expression stability, as calcul...
Feature ranking of the machine learning algorithms; a lower number indicates a greater importance.</...
Relative importance for the top 50 study features sorted by mean absolute SHAP value.</p
<p>Ranking of the effect of joint and radiographic features in multivariable models.</p
Note: WML estimates: person estimates on the latent parental stress scale (theta). Item thresholds: ...
Hierarchical linear model results for individual- and country-level effects on WFC among fathers and...
Hierarchical linear model results for individual- and country-level effects on FWC among fathers and...
<p>Solid lines ranging from 15 to 45 y for maternal age, dotted lines ranging from 15 to 65 y for pa...
Relative importance for psychosocial features sorted by mean absolute SHAP value.</p
<p>Parental metabolite levels (224 features in total) are used to predict the observed class labels ...
<p>‘Bad’ and ‘good’ performers were predicted using support vector machines (SVM), each trained with...
<p>Hybrid field performance was predicted using support vector regression models (SVR), each trained...
<p>For each of the top 20 ranked features (ID stands for the feature ...
<p>The model of offspring size initially included developmental stage, female age, condition, and si...
Hierarchical linear model results for individual- and country-level effects on WFC among fathers and...
<p>Ranking of three candidate reference genes in descending order of expression stability, as calcul...
Feature ranking of the machine learning algorithms; a lower number indicates a greater importance.</...
Relative importance for the top 50 study features sorted by mean absolute SHAP value.</p
<p>Ranking of the effect of joint and radiographic features in multivariable models.</p
Note: WML estimates: person estimates on the latent parental stress scale (theta). Item thresholds: ...
Hierarchical linear model results for individual- and country-level effects on WFC among fathers and...
Hierarchical linear model results for individual- and country-level effects on FWC among fathers and...
<p>Solid lines ranging from 15 to 45 y for maternal age, dotted lines ranging from 15 to 65 y for pa...
Relative importance for psychosocial features sorted by mean absolute SHAP value.</p
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