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Next it's going to exam the classifier on Each individual part by passing the classifier p-one with the portions of knowledge in teaching and one other aspect in take a look at. It's going to Look at the labels the classifier returns versus the particular labels stored in info to deliver a rating for that partition. It's going to sum the scores across all p partitions and afterwards divide this by m. This selection would be the estimate of the classifier’s efficiency on information from this resource. It really should return this number (concerning 0 and 1).

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