The workflow is displayed as 7 steps with steps 1–6 describing the model train and test workflow within each cross validation fold.</p
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>The skeleton of the nested cross-validation for measuring the performance of the proposed method....
<p>Risk prediction models using 10-fold cross-validation on the training set.</p
<p>First, we randomly divided the whole data set into a training set and an independent test set. Th...
<p>Schematic representation of the workflow in the different stages of the screening and functional ...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>Schematic representation of ChIP workflow and crucial steps for an effective crosslinking and imm...
<p>Illustrative scheme of the 10-fold cross validation procedure. During the 10 iterations each samp...
The “inner” cross-validation: The “inner” cross-validation is for model selection based on their acc...
<p>A diagram illustrating one round of leave-one-out cross-validation to estimate classification acc...
<p>Schematic representation of two consecutive slices, for which chemical measurements on surface ar...
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>First, different models are trained and validated with cross-validation and the best set of param...
<p>It highlights the two nested loops. The outer cross-validation loop provides 10 performance estim...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>The skeleton of the nested cross-validation for measuring the performance of the proposed method....
<p>Risk prediction models using 10-fold cross-validation on the training set.</p
<p>First, we randomly divided the whole data set into a training set and an independent test set. Th...
<p>Schematic representation of the workflow in the different stages of the screening and functional ...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>Schematic representation of ChIP workflow and crucial steps for an effective crosslinking and imm...
<p>Illustrative scheme of the 10-fold cross validation procedure. During the 10 iterations each samp...
The “inner” cross-validation: The “inner” cross-validation is for model selection based on their acc...
<p>A diagram illustrating one round of leave-one-out cross-validation to estimate classification acc...
<p>Schematic representation of two consecutive slices, for which chemical measurements on surface ar...
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
<p>First, different models are trained and validated with cross-validation and the best set of param...
<p>It highlights the two nested loops. The outer cross-validation loop provides 10 performance estim...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>The skeleton of the nested cross-validation for measuring the performance of the proposed method....
<p>Risk prediction models using 10-fold cross-validation on the training set.</p
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