<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile Bayes SVM classifier, Simple SVM classifier and Naïve Bayes classifier, respectively. (The corresponding average AUC is 0.9254, 0.8958 and 0.8909, respectively.)</p
<p>The receiver operating characteristic (ROC) curves of the three different methods to predict new ...
A) Compounds tested in the vascular model (n = 111) in order to build the database and depicted as d...
<p>The classification performance of representative and widely used machine learning methods incorpo...
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
<p>(A), CLF; (B), MF; (C), PF; (D), CF and (E), CRYS class. PredPPCrys-I denotes the first-level pre...
<p>(A) ROC curve for the HIV-RT classifier. (B) ROC curve for the adenosine receptors classifier. (C...
<p>A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...
<p>Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>The Receiver-operating characteristic (ROC) curve is shown for SVM-LIN, SVM-RBF, and SVM-seq (RBF...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>(A) The ROC curve illustrating the performance for full transcript mode. (B) The ROC curve illust...
(A) ROC curves for simulated whole-exome sequencing data, for one cancer type versus all others. Are...
<p>The receiver operating characteristic (ROC) curves of the three different methods to predict new ...
A) Compounds tested in the vascular model (n = 111) in order to build the database and depicted as d...
<p>The classification performance of representative and widely used machine learning methods incorpo...
<p>Red, blue, and green curve denotes 5-fold cross-validation prediction performance of Bi-profile B...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p><b>(a)</b> The ensemble-based prediction model based on all five combined patterns has an area un...
<p>(A), CLF; (B), MF; (C), PF; (D), CF and (E), CRYS class. PredPPCrys-I denotes the first-level pre...
<p>(A) ROC curve for the HIV-RT classifier. (B) ROC curve for the adenosine receptors classifier. (C...
<p>A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...
<p>Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...
<p>In each figure, the solid (<i>blue</i>) curve corresponds to the cross validation test on the sam...
<p>The Receiver-operating characteristic (ROC) curve is shown for SVM-LIN, SVM-RBF, and SVM-seq (RBF...
<p>Fig 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...
<p>(A) The ROC curve illustrating the performance for full transcript mode. (B) The ROC curve illust...
(A) ROC curves for simulated whole-exome sequencing data, for one cancer type versus all others. Are...
<p>The receiver operating characteristic (ROC) curves of the three different methods to predict new ...
A) Compounds tested in the vascular model (n = 111) in order to build the database and depicted as d...
<p>The classification performance of representative and widely used machine learning methods incorpo...
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