ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation set (dashed).</p
<p>The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Mo...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Mode...
<p>ROC curve of APPCI model in training (A) and validation (B) groups, respectively.</p
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
Comparison of the ROC curve for internal validation (training vs. validation) from multiple logistic...
<p>They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
ROC curves for the top performing model compared to individual feature predictions.</p
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Mo...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Mode...
<p>ROC curve of APPCI model in training (A) and validation (B) groups, respectively.</p
<p>ROC curves of the single SVM models trained using various features based on five-fold cross-valid...
(A) Performance of the model in the training set, which showed an AUC value of 0.768, an optimal cut...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
Comparison of the ROC curve for internal validation (training vs. validation) from multiple logistic...
<p>They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
ROC curves for the top performing model compared to individual feature predictions.</p
<p>(A) ROC curve of the 349-gene predictive model in training set (200 samples, AUC = 0.826; <i>p<</...
<p>ROC curve for the best classification models resulting from the LOO validation (ranking based on ...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Mo...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Mode...