Description: 用matlab编写的，画ROC曲线和分数分布的代码。可以供做模式识别研究的人员使用。-prepared using Matlab, paintings and scores of ROC curve distribution of code. Pattern recognition can do research for the officers. Platform: |
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Author:张志坚 |
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Description: Cours Roc Curve tres utiles
Rappels sur la courbe ROC (Receiver Operating Characteristic Curve)
Supposons qu une population soit répartie en deux classes notées respectivement 1 et 0. Mais, au lieu d observer directement la classe à laquelle appartient un sujet, on dispose de renseignements sur chaque sujet, permettant d en déduire la classe à laquelle il appartient avec une certaine probabilité d erreur. Platform: |
Size: 24576 |
Author:salwa |
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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: Generates the values in a ROC curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.) Platform: |
Size: 1024 |
Author:B |
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Description: 在matlab环境下绘制评估边缘检测性能的ROC曲线。-This ROC curve is a method to evaluate the performance of edge detection algorithms. Platform: |
Size: 4096 |
Author:姚瑶 |
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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 |
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Description: 在信号检测与估计中利用roc曲线更加的使我们易于理解。利用matlab编写了roc曲线-Use roc curve signal detection and estimation makes us more easily understood. Roc curve prepared using matlab Platform: |
Size: 8192 |
Author:追逐通信 |
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Description: OS-CFAR的Matalb实现，并且可以根据虚警率的不同绘制ROC曲线，是学习恒虚警检测器的好材料(The Matalb implementation of OS-CFAR, and can draw the ROC curve according to the false alarm rate, is a good material for learning CFAR detector) Platform: |
Size: 1024 |
Author:女大王驾到
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