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EdenistTech t1_j0aa5is wrote

To some extent yes. But rather than focusing on the true positives of the entire training set, I would be interested in the algorithm carving out subsets of features and values for which precision is very high - higher than the precision of the entire training set. I hope that makes sense?

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