how to plot parameters of ROC out of SVM?
Dear Sheema Khattak
There is no way except write a small script in MATLAB based on your algorithm.
I draw training and testing groups randomly from data sets.
use the average sensitivity and specificity to represent the performance of SVM.
There is no ROC for SVM.
How can we determine from the results of PSNR and MSE that how is the quality of the images for quantitative and qualitative analysis.
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Methods like ROC/AUC, precision,specificity and accuracy etc are used for quantitative analysis. What are other methods to evaluate the results.
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How should be the introduction portion written in a research article to get the paper published in computer vision.
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In order to find abnormalities and eventually disease detection.
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Also kindly illustrate the key terms in the context of its implementation seeds,masks,labels and beta? what are these terms and what does they represent?
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SVM Classification results in the form of 2-d plot
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For PhD research any new ideas and methods
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