Bold font indicates improvement of the “trend+var” method, compared to the “trend” method. k is the number of models in the ensemble; MCIW is mean 90% credible interval width; MAE is mean absolute bias of the mean; CIW is 90% credible interval width; AB is absolute bias of the mean.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Shown are the three different cross validation schemes that we used throughout the paper. In the ...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
We consider the mean prediction error of a classification or regression procedure as well as its cro...
<p>In the second column the number in the brackets is the pre-defined number of components. The smal...
<p>Results of the leave-one-out cross-validation analysis based on dorsal, lateral and ventral shape...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>First, different models are trained and validated with cross-validation and the best set of param...
<p>(A) Simulation curve for fixed 0.1 <i>C<sub>R</sub></i>+ additional <i>C<sub>I</sub></i> with all...
<p>A) Error rate produced by different classification algorithms as a function of the number of pred...
Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...
<p>An output of 1 indicates that a left-out sample from adherent or sphere cells was predicted to be...
<p>In each iteration, data are divided into training and test sets. Before training, another (inner)...
Contains all code and data to reproduce the results shown in the manuscript "Explaining the optimist...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Shown are the three different cross validation schemes that we used throughout the paper. In the ...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...
We consider the mean prediction error of a classification or regression procedure as well as its cro...
<p>In the second column the number in the brackets is the pre-defined number of components. The smal...
<p>Results of the leave-one-out cross-validation analysis based on dorsal, lateral and ventral shape...
<p>Results show the mean accuracy (upper plot) and proportion of significant results (bottom plot) o...
<p>First, different models are trained and validated with cross-validation and the best set of param...
<p>(A) Simulation curve for fixed 0.1 <i>C<sub>R</sub></i>+ additional <i>C<sub>I</sub></i> with all...
<p>A) Error rate produced by different classification algorithms as a function of the number of pred...
Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...
<p>An output of 1 indicates that a left-out sample from adherent or sphere cells was predicted to be...
<p>In each iteration, data are divided into training and test sets. Before training, another (inner)...
Contains all code and data to reproduce the results shown in the manuscript "Explaining the optimist...
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Shown are the three different cross validation schemes that we used throughout the paper. In the ...
textWhen testing structural equation models, researchers attempt to establish a model that will gen...