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The current evaluate function does not distinguish between the different field types and, most importantly, includes the id fields in the evaluation.
Id fields are not modeled and can be very different between the sampled and the real data, which means that they can produce a huge and meaningless impact on the produced scores.
The evaluate function should be changed to expect a metadata argument as input and adapt the evaluation to the different data types.
The text was updated successfully, but these errors were encountered:
csala
changed the title
Skip id fields when evaluating
Adapt evaluation to the different data types
Nov 14, 2019
The current
evaluate
function does not distinguish between the different field types and, most importantly, includes the id fields in the evaluation.Id fields are not modeled and can be very different between the sampled and the real data, which means that they can produce a huge and meaningless impact on the produced scores.
The
evaluate
function should be changed to expect ametadata
argument as input and adapt the evaluation to the different data types.The text was updated successfully, but these errors were encountered: