A Matlab implementation of the BayesNet classifier is required. The classifier should be implemented the exact way as it’s implemented in WEKA but in Matlab code i.e. it should be able to load the dataset from .csv file , perform 10 fold cross validation , and then the output should be as follows:
1- Classification accuracy.
2- Number of true positives.
7- ROC area.
8- Plot ROC curve.
As I mentioned before same as the WEKA random forest classifier but the code should be written in Matlab.
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I am professional matlab programer: [url removed, login to view] Let disscuss.
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I have experience in both data mining and matlab. i am redy for work. can we discuss further? thanks
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