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The goal of this functionality will be to estimate the effectiveness of a classifier in a particular placing. This function normally takes as input an m x (n+one) array of information, an integer p, the classifier it really is checking, and any remaining parameters which the classifier involves will be stored in args . Right here’s how it really works: It's going to to start with randomly combine-up the rows of knowledge. Then it will partition information into p equivalent components. If p equal elements are not possible then as close to equal as is achievable (no mobile must have more than 1 extra observation than another cells).
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