<p>Comparison of ROC curves.</p>a<p>1,2 and 3 refer to the number of features used in the classification.</p>b<p>the t-statistic was calculated using the method described by Delong and colleagues (20). Values less than1.96 indicate no significant difference in the comparison.</p
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
<p>The naïve Bayesian methods perform better (higher AUC) than Phymm(BL). The threshold (f-measure) ...
<p>* Test of contrast between ROC curves,</p><p>p>0.05 means no statistical differences between area...
The class imbalance problem appears to be ubiquitous to a large portion of the machine learning and ...
The class imbalance problem appears to be ubiquitous to a large portion of the machine learning and ...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
This research uses four classification algorithms in standard and boosted forms to predict members o...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
This paper proposes a new methodology for comparing} two performance methods based on confidence int...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
<p>The naïve Bayesian methods perform better (higher AUC) than Phymm(BL). The threshold (f-measure) ...
<p>* Test of contrast between ROC curves,</p><p>p>0.05 means no statistical differences between area...
The class imbalance problem appears to be ubiquitous to a large portion of the machine learning and ...
The class imbalance problem appears to be ubiquitous to a large portion of the machine learning and ...
<p>ROC plot depicts a relative trade-off between true positive rate and false positive rate of the p...
This research uses four classification algorithms in standard and boosted forms to predict members o...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
This paper proposes a new methodology for comparing} two performance methods based on confidence int...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
<p>The naïve Bayesian methods perform better (higher AUC) than Phymm(BL). The threshold (f-measure) ...
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