<p>A diagram illustrating one round of leave-one-out cross-validation to estimate classification accuracies.</p
Bold font indicates improvement of the “trend+var” method, compared to the “trend” method. k is the ...
<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p
The workflow is displayed as 7 steps with steps 1–6 describing the model train and test workflow wit...
<p>A schematic diagram representing the decision tree used in each year of the analysis.</p
<p>Results of the leave-one-out cross-validation analysis based on dorsal, lateral and ventral shape...
Enrollment, follow-up, and exclusion criteria flow diagram for persons in analysis.</p
<p>Flow diagram of exclusions made to produce the final cohort for descriptive and multivariable ana...
<p>The algorithm diagram for the recursive feature search in a fold of cross-validation.</p
<p>In the second column the number in the brackets is the pre-defined number of components. The smal...
<p>Diagram of the different calibration and validation processes used for grain cultivar identificat...
<p>Cross-classification of observations in validation group by quintile of measured and predicted 25...
<p>The rows of this matrix indicate the groups of the subjects (ground truth), and the columns indic...
<p>Flow diagram of awards and/or publications that are included (and excluded) for each analysis.</p
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
Bold font indicates improvement of the “trend+var” method, compared to the “trend” method. k is the ...
<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p
The workflow is displayed as 7 steps with steps 1–6 describing the model train and test workflow wit...
<p>A schematic diagram representing the decision tree used in each year of the analysis.</p
<p>Results of the leave-one-out cross-validation analysis based on dorsal, lateral and ventral shape...
Enrollment, follow-up, and exclusion criteria flow diagram for persons in analysis.</p
<p>Flow diagram of exclusions made to produce the final cohort for descriptive and multivariable ana...
<p>The algorithm diagram for the recursive feature search in a fold of cross-validation.</p
<p>In the second column the number in the brackets is the pre-defined number of components. The smal...
<p>Diagram of the different calibration and validation processes used for grain cultivar identificat...
<p>Cross-classification of observations in validation group by quintile of measured and predicted 25...
<p>The rows of this matrix indicate the groups of the subjects (ground truth), and the columns indic...
<p>Flow diagram of awards and/or publications that are included (and excluded) for each analysis.</p
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Quantitative results of the leave-one-out cross evaluation of the twelve SVM models.</p
Bold font indicates improvement of the “trend+var” method, compared to the “trend” method. k is the ...
<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p
The workflow is displayed as 7 steps with steps 1–6 describing the model train and test workflow wit...
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