Since I have 15% matched to use as ground truth... can't I somehow use the other 50 columns in the file ( all of which has various data fields) to train some sort of supervised approach that uses all the data to suggest a match statistically?

I want to say the answer has something to do with Expectation Maximization type approach but I'm way out of my depth here.

In reply to Re^4: Supervised machine learning algo for text matching across two files by Anonymous Monk
in thread Supervised machine learning algo for text matching across two files by Anonymous Monk

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