FAILURE: On 2016-11-05 and 4 other dates, the number of stocks having an N/A value for the target exceeded 20%

error during data loading...

For some kinds of targets it is ok to have many NA (e.g., estimates, fundamentals)
Is it possible to apply dropna() for the target and run the modelling ?

Why not create a custom universe that eliminates stocks with NA targets?

I tried ... with this rule: Surprise%Q1 and #AnalystsCurQ >2
But it did not help, maybe because it does not not check if fHist("Surprise%Q1", -15) in NA ?
Please help you have any solution.

use fHist("Surprise%Q1", -15) in the universe