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Size: 1024 |
Author: zc |
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Description: ROC曲线绘制程序！matlab版！搜索，无重复。-ROC curve drawing program! matlab version! English, no repeat.
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Size: 2048 |
Author: ym |
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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
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Size: 4096 |
Author: saadat |
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Description: 试者工作特征曲线 （receiver operating characteristic curve，简称ROC曲线），又称为感受性曲线（sensitivity curve）。得此名的原因在于曲线上各点反映着相同的感受性，它们都是对同一信号刺激的反应，只不过是在几种不同的判定标准下所得的结果而已。接受者操作特性曲线就是以虚报概率为横轴，击中概率为纵轴所组成的坐标图，和被试在特定刺激条件下由于采用不同的判断标准得出的不同结果画出的曲线。-PLOTROC Plot receiver operating characteristic.
Syntax
plotroc(targets,outputs)
plotroc(targets1,outputs1, name1 ,targets,outputs2, name2 , ...)
Description
PLOTROC(TARGETS,OUTPUTS) plots the receiver operating characteristic
for each output class. The more each curve hugs the left and top edges
of the plot, the better the classification.
PLOTROC(TARGETS1,OUTPUTS2, name1 ,...) generates multiple plots.
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Size: 5120 |
Author: 李明 |
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Description: Plot This curves
Receiver Operating Characteristic (ROC) curve
Detection Error Trade-off (DET) curve
FAR vs FRR
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Size: 1024 |
Author: yasser |
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