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[Other resourceROCandAUC

Description: 计算ROC曲线和AUC的Matlab程序
Platform: | Size: 1099 | Author: 刘国亮 | Hits:

[AlgorithmROCandAUC

Description: 计算ROC曲线和AUC的Matlab程序-Calculation of ROC curves and AUC of Matlab procedures
Platform: | Size: 1024 | Author: 刘国亮 | Hits:

[Communicationrocplot

Description: ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier
Platform: | Size: 4096 | Author: saadat | Hits:

[matlabROC-and-AUC-analysis

Description: A good matlab code that analysis the ROC curve and corresponding AUC value to estimate the sensitive and the currectness of the sample estimate. This code is suitable for variable type and function data.
Platform: | Size: 3072 | Author: lihuijia | Hits:

[matlabROC

Description: 画ROC曲线,并求取相应的pf,pd值,求AUC值的matlab代码(Draw the ROC curve, and solve the PD, PF values)
Platform: | Size: 722944 | Author: jojo7725 | Hits:

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