Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. ROC Curves for Continuous Data is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves.The fundamental theory of ROC curvesThe book first discusses the relationship between the ROC curve and numerous performance measures and then extends the theory into practice by describing how ROC curves are estimated. Further building on the theory, the authors pres
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
A receiver operating characteristic (ROC) curve is a plot of two survival functions, derived separat...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
Abstract: Article presents a ROC (receiver operating characteristic) curve and its application for c...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>(A) Results when validating against the neutral control set. (B) Results when validating against ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>These curves are the average curves from the aformentioned 30 repetitions of the algorithm.</p
This paper shows that ROC curves, as a method of visualizing classifier performance, are inadequate ...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>The curves are obtained reporting the results obtained gradually increasing the time series lengt...
Receiver Operating Characteristics (ROC) analysis results to evaluate the effectiveness of continuou...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
A receiver operating characteristic (ROC) curve is a plot of two survival functions, derived separat...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...
The ROC (Receiver Operating Characteristic) curve is a projection of two different cumulative distri...
<p>The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p
Abstract: Article presents a ROC (receiver operating characteristic) curve and its application for c...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
<p>ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...
<p>(A) Results when validating against the neutral control set. (B) Results when validating against ...
<p>ROC curve and prediction parameters for optimal thresholds in all tested methods.</p
<p>These curves are the average curves from the aformentioned 30 repetitions of the algorithm.</p
This paper shows that ROC curves, as a method of visualizing classifier performance, are inadequate ...
The Areas Under the Curve and Standard Errors are reported under each subset.</p
<p>The curves are obtained reporting the results obtained gradually increasing the time series lengt...
Receiver Operating Characteristics (ROC) analysis results to evaluate the effectiveness of continuou...
<p>Receiver-operating-characteristic curves (ROC) were calculated for every significantly different ...
A receiver operating characteristic (ROC) curve is a plot of two survival functions, derived separat...
<p>The ROC curves were obtained by computing the cumulative Hit and False Alarm rates for each confi...