<p>The plot suggests better and stable performance of the classifiers with multiboosting.</p
<p>ROC plot for classification between TB and non-TB CXRs (DA) using PHOG features.</p
The relative operating characteristic (ROC) is a widely-used method to measure diagnostic signals in...
Proceedings of: GECCO 2013: 15th International Conference on Genetic and Evolutionary Computation Co...
<p>The Receiver’s Operating Characteristic Curves obtained for animal model classifiers.</p
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>The standard deviations are computed from a five-fold cross validation.</p><p>Classification perf...
<p>The ROC graph is plotted to show the performance of the binary classifiers.</p
An ROC plot for our ANN’s training and validation datasets as well as the performance of Random Fore...
<p>Results are evaluated based on the benchmark dataset (A) and independent test dataset (B).</p
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>ROC plot for 9 variants alone (AUC -0.536) and 9 variants plus BMI (AUC- 0.624).</p
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC space and plots of the 5-fold cross-validation results of IpiRId and other tools across speci...
<p>ROC curve of the classifier, showing the trade-off between sensitivity (y-axis) and specificity (...
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>ROC plot for classification between TB and non-TB CXRs (DA) using PHOG features.</p
The relative operating characteristic (ROC) is a widely-used method to measure diagnostic signals in...
Proceedings of: GECCO 2013: 15th International Conference on Genetic and Evolutionary Computation Co...
<p>The Receiver’s Operating Characteristic Curves obtained for animal model classifiers.</p
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
<p>The standard deviations are computed from a five-fold cross validation.</p><p>Classification perf...
<p>The ROC graph is plotted to show the performance of the binary classifiers.</p
An ROC plot for our ANN’s training and validation datasets as well as the performance of Random Fore...
<p>Results are evaluated based on the benchmark dataset (A) and independent test dataset (B).</p
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>ROC plot for 9 variants alone (AUC -0.536) and 9 variants plus BMI (AUC- 0.624).</p
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC space and plots of the 5-fold cross-validation results of IpiRId and other tools across speci...
<p>ROC curve of the classifier, showing the trade-off between sensitivity (y-axis) and specificity (...
<p> <b>ROC curves for four different classifiers and the set of features selected at t...
<p>ROC plot for classification between TB and non-TB CXRs (DA) using PHOG features.</p
The relative operating characteristic (ROC) is a widely-used method to measure diagnostic signals in...
Proceedings of: GECCO 2013: 15th International Conference on Genetic and Evolutionary Computation Co...
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