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dead line is 3 days Each of the attached files: [login to view URL] [login to view URL] [login to view URL] [login to view URL] contains 100 samples from a Normal distribution, one per row. Your task is to train a quadratic classifier on the training data, and test it on the test data. 1) Read in the training data, and compute the mean and covariance for each class 2) Run through the test data, classifying it using your knowledge of the mean/covar 3) Generate an ROC curve for the classifier (vary the threshold on the likelihood ratio) Hint: log(p(x|A)/p(x|B)) is proportional to (Ma(x) - Mb(x)), where Ma is the Mahalanobis distance of x from the mean of A, Mb is the Mahalanobis distance of x from the mean of B The smaller this value, the more likely x is to be of class A

Matlab and Mathematica

Project ID: 10429996

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@coolomar1998

Feel free to contact me for this assignment.I do,t only provide solution but also the help to understand the project using [login to view URL] and live [login to view URL] you do,t get my reply it means your project has been deleted by site admind due to academic [login to view URL] can directly hire me from my profile link https://www.freelancer.com/u/coolomar1998.html. Regards, imran

$150 USD in 3 days

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@EXPERANTO

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$150 USD in 3 days