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Drop of Labels unnecessary #1

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AshwinB-hat opened this issue Sep 1, 2018 · 1 comment
Open

Drop of Labels unnecessary #1

AshwinB-hat opened this issue Sep 1, 2018 · 1 comment

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@AshwinB-hat
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Hey,
The reason you have such a low accuracy even when you have the proper feature-train ratio is because many of the features that you are dropping has direct correlation with the output.
Please have a look at this kernel on feature engineering on the titanic.
https://www.kaggle.com/harryem/feature-engineering-on-the-titanic-for-0-81339

@pranay414
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Thank you :), I'll check it out and incorporate it in my code.

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