Receiver operating characteristic curves presented for (a) SVM3 and (b) deep-learner shows AUC values ≥ 0.98 for both the learning models.</p
<p>Receiver operating characteristic curves with areas under the curves (upper panel A–C) and calibr...
<p>Area Under the Curve (AUC) was obtained from the ROC curves of 9 predictors: AUC cannot be comput...
<p>Receiver operating characteristic curves for the 3 models including respectively the non-genetic ...
<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n ...
<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n ...
<p>Areas under the curves (AUC) obtained in a 10-fold cross-validation setting. The AUC is averaged ...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Values of the areas under the receiver operating characteristic curve (AUC) of all subjects under...
<p>One standard deviation above and below the average curve is shown in blue. Area Under the Curve (...
<p>Values of the areas under the receiver operating characteristic curve (AUC) of all subjects under...
<p>Area Under the Receiver Operating Characteristic Curve (AUC) for the CBM, M-65SNP, BRR, BA, BC, B...
<p>Area under the receiver operating characteristics curve (AUC) of the most relevant parameters on ...
<p>The areas under the ROC curves, or AUC are 0.93, 0.96, 0.90, and 0.94 for iMcRNA-PseSSC, iMcRNA-E...
<p>A highest area under curves (AUC) value of 0.5 indicates no predictive, while an AUC of 1 indicat...
<p>Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) values for train...
<p>Receiver operating characteristic curves with areas under the curves (upper panel A–C) and calibr...
<p>Area Under the Curve (AUC) was obtained from the ROC curves of 9 predictors: AUC cannot be comput...
<p>Receiver operating characteristic curves for the 3 models including respectively the non-genetic ...
<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n ...
<p>Area under the receiver operating characteristic curve (AUC) for MSKCC, SOC, and PKUPH models (n ...
<p>Areas under the curves (AUC) obtained in a 10-fold cross-validation setting. The AUC is averaged ...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Values of the areas under the receiver operating characteristic curve (AUC) of all subjects under...
<p>One standard deviation above and below the average curve is shown in blue. Area Under the Curve (...
<p>Values of the areas under the receiver operating characteristic curve (AUC) of all subjects under...
<p>Area Under the Receiver Operating Characteristic Curve (AUC) for the CBM, M-65SNP, BRR, BA, BC, B...
<p>Area under the receiver operating characteristics curve (AUC) of the most relevant parameters on ...
<p>The areas under the ROC curves, or AUC are 0.93, 0.96, 0.90, and 0.94 for iMcRNA-PseSSC, iMcRNA-E...
<p>A highest area under curves (AUC) value of 0.5 indicates no predictive, while an AUC of 1 indicat...
<p>Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) values for train...
<p>Receiver operating characteristic curves with areas under the curves (upper panel A–C) and calibr...
<p>Area Under the Curve (AUC) was obtained from the ROC curves of 9 predictors: AUC cannot be comput...
<p>Receiver operating characteristic curves for the 3 models including respectively the non-genetic ...
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