The purpose of this operate is to estimate the overall performance of a classifier in a particular placing. This purpose usually takes as enter an m x (n+1) variety of info, an integer p, the classifier it is examining, and any remaining parameters the classifier involves is going to be saved in args . Listed here’s how it really works: It'll first randomly blend-up the rows of information. Then it will eventually partition facts into p equal components. If p equal pieces are impossible then as near to equivalent as is achievable (no mobile should have greater than one a lot more observation than another cells).All code on my web-site As well as in my textbooks was produced and supplied for instructional reasons only. I get no accountability for your code, what it would do, or how you could use it.
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