<p>Receiver operator curve for multiple machine learning models, generated using single decision trees and ensembles.</p
<p>Receiver operating characteristics curve for the 14 and 35 biomarker models.</p
<p>Receiver operating characteristic curves for predictive models in the initial stage.</p
The evaluation results based on four simple machine learning models for two datasets.</p
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>Receiver operator curve for Observer 2 with all data from all eyes analysed together.</p
<p>Receiver operator characteristic curves for the four risk prediction models.</p
<p>Receiver operating characteristic curves for support vector machine classifier with different fea...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Receiver Operator Curve for comparing the DSS and independent experts on drug management.</p
<p>Receiver operating characteristic curves for k-nearest neighbor classifier with different feature...
Receiver operating characteristic curves for the learned model developed in this study.</p
<p>Receiver operating characteristic curves for multi-occupancy, participant-specific and decision f...
<p>Receiver operating characteristic curves for the support vector machine and the k-nearest neighbo...
<p>Receiver operating characteristic (ROC) curve for different classification methods on the trainin...
<p>Receiver operating characteristic (ROC) curve for different classification methods on the test se...
<p>Receiver operating characteristics curve for the 14 and 35 biomarker models.</p
<p>Receiver operating characteristic curves for predictive models in the initial stage.</p
The evaluation results based on four simple machine learning models for two datasets.</p
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>Receiver operator curve for Observer 2 with all data from all eyes analysed together.</p
<p>Receiver operator characteristic curves for the four risk prediction models.</p
<p>Receiver operating characteristic curves for support vector machine classifier with different fea...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Receiver Operator Curve for comparing the DSS and independent experts on drug management.</p
<p>Receiver operating characteristic curves for k-nearest neighbor classifier with different feature...
Receiver operating characteristic curves for the learned model developed in this study.</p
<p>Receiver operating characteristic curves for multi-occupancy, participant-specific and decision f...
<p>Receiver operating characteristic curves for the support vector machine and the k-nearest neighbo...
<p>Receiver operating characteristic (ROC) curve for different classification methods on the trainin...
<p>Receiver operating characteristic (ROC) curve for different classification methods on the test se...
<p>Receiver operating characteristics curve for the 14 and 35 biomarker models.</p
<p>Receiver operating characteristic curves for predictive models in the initial stage.</p
The evaluation results based on four simple machine learning models for two datasets.</p