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Filling NaNs #1

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rainmaker29 opened this issue Dec 23, 2019 · 0 comments
Open

Filling NaNs #1

rainmaker29 opened this issue Dec 23, 2019 · 0 comments

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@rainmaker29
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rainmaker29 commented Dec 23, 2019 •
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48 rows had NaNs in important attributes like Dribbling etc.. which i had to drop for the current prediction.

I used these approaches to fill NaNs :

  1. Fill NaNs with similar,related players values.
  2. Fill NaNs with Mean of that attribute

Both the above approaches messed up prediction :P
@rainmaker29 rainmaker29 changed the title 48 players with NaN Dribbling and other important attributes have been dropped. Can somebody suggest a way to include them in prediction too? Filling NaNs Dec 23, 2019
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