<p>AUC Curves for the Different Machine Learning Models using SMOTE and evaluated using holdout (70/30).</p
<p>AUC scores of the models with the variation of <i>δ</i> on <i>Human</i> dataset.</p
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk pr...
<p>AUC Curves for the Different Machine Learning Models using SMOTE evaluated using 10-fold cross-va...
<p>The RTF model achieve the highest AUC (0.88), Sensitivity (74.30%), Precision (73.50%) and F-Scor...
<p>The RTF model achieves the highest AUC (0.89), Sensitivity (75%), Precision (73%) and F-Score (74...
AUC values of different combination of feature scores for training and test dataset in a generic pre...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
(A) ROC-AUC, area under the receiver operating characteristic curve. (B) Calibration plot of machine...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>AUC scores for three different classifiers with different types of markers for Metagene and CoMi ...
Receiver operating characteristic curves presented for (a) SVM3 and (b) deep-learner shows AUC value...
<p>MLP’s and sdAE’s ROC curve AUC with 95% confidence intervals evaluated on subsets of SNVs from th...
<p>AUC scores of the models with the variation of <i>δ</i> on <i>Human</i> dataset.</p
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk pr...
<p>AUC Curves for the Different Machine Learning Models using SMOTE evaluated using 10-fold cross-va...
<p>The RTF model achieve the highest AUC (0.88), Sensitivity (74.30%), Precision (73.50%) and F-Scor...
<p>The RTF model achieves the highest AUC (0.89), Sensitivity (75%), Precision (73%) and F-Score (74...
AUC values of different combination of feature scores for training and test dataset in a generic pre...
<p>Shown here are the ROC curve Area-Under-Curve (AUC) scores, sensitivities and specificities for t...
(A) ROC-AUC, area under the receiver operating characteristic curve. (B) Calibration plot of machine...
Receiver operator curves of the best-performing models in each model development step (AUC, area und...
<p>Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>AUC scores for three different classifiers with different types of markers for Metagene and CoMi ...
Receiver operating characteristic curves presented for (a) SVM3 and (b) deep-learner shows AUC value...
<p>MLP’s and sdAE’s ROC curve AUC with 95% confidence intervals evaluated on subsets of SNVs from th...
<p>AUC scores of the models with the variation of <i>δ</i> on <i>Human</i> dataset.</p
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk pr...
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