<p>ROC Curves with (+) or without (−) boundary detection (BD) and model fitness check (MFC).</p
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p
ROC curves of the model under non-feature selection, feature selection, and mixed sampling.</p
<p>ROC curve analysis between BD-I and BD-II with only part one of the MDQ scored.</p
<p>ROC curve analysis between BD-II and UD with only part one of the MDQ scored.</p
<p>ROC curve for the best model found on the reduced feature set (discovery).</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
<p>ROC curves including for sedentary, light, moderate and vigorous activity.</p
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p
ROC curves of the model under non-feature selection, feature selection, and mixed sampling.</p
<p>ROC curve analysis between BD-I and BD-II with only part one of the MDQ scored.</p
<p>ROC curve analysis between BD-II and UD with only part one of the MDQ scored.</p
<p>ROC curve for the best model found on the reduced feature set (discovery).</p
The ROC curves for 2-folds, 4-folds, 10-folds, and leave one subject out cross validation experiment...
The areas under these curves can be found in the legend located on the right side. Grey crosses disp...
<p>ROC curve for the best model found on the reduced feature set (replication).</p
ROC curves of the methods with different features for representing images and different classifiers....
<p>ROC curves for the two models of the development set using leave-one-out cross-validation (LOOCV)...
<p>ROC curves including for sedentary, light, moderate and vigorous activity.</p
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p
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