ROC curve comparing 6 machine learning algorithms for A) train and B) test data.</p
<p>(A) Performance comparison based on 10-fold cross-validation of the training dataset; (B) Perform...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>(a) first ROC: Class 1 – four-fold NP differentially over-expressed genes compared to ES; Class 0...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...
Comparison of the ROC curve for internal validation (training vs. validation) from multiple logistic...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
ROC for classification of candidate samples from train vs validation (orange) and train vs test (gre...
(a) shows the liver data and (b) shows the kidney data. In the plot, BR plus LR represents BR model ...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
ROC curve for discrimination between a) T2DM-NP and control, b) T2DM and control and c) T2DM and T2D...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>(A) Performance comparison based on 10-fold cross-validation of the training dataset; (B) Perform...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>(a) first ROC: Class 1 – four-fold NP differentially over-expressed genes compared to ES; Class 0...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
ROC curves for the Feature Network (a), the Topographic Map Network (b), the Short-time Fourier Tran...
Comparison of the ROC curve for internal validation (training vs. validation) from multiple logistic...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
ROC for classification of candidate samples from train vs validation (orange) and train vs test (gre...
(a) shows the liver data and (b) shows the kidney data. In the plot, BR plus LR represents BR model ...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
ROC curve for discrimination between a) T2DM-NP and control, b) T2DM and control and c) T2DM and T2D...
In this paper we investigate the use of the area under the receiver operating characteristic (ROC) c...
<p>(A) Performance comparison based on 10-fold cross-validation of the training dataset; (B) Perform...
<p>ROC Curve of different classification methods (SVM only, GA+SVM, GA+SVM+Post Spike Matching).</p
<p>(a) first ROC: Class 1 – four-fold NP differentially over-expressed genes compared to ES; Class 0...
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