How to identify the ML Package Extracted Table value is not correct without using confidence score

I’m using Document understanding ML package to extract the tables from the Invoice. In the invoice Line item 2 (Unit cost, QTY/HR rate, Amount) columns are empty. After the extraction the Line item 3’s values are being taken as Line item 2’s values (which I’m expecting to be just considered as empty). Whenever the rows are empty in the middle following row’s value moves forward and fill the empty row.

Also facing this same kind of issue with values shifting column wise, where if the 1st column value is the row is empty the second column value is being taken as the 1st column value.

I need to stop this from happening in my model, or at least identify that this shifting of data has occurred and need to stop and moved to failed without human intervention.


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