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spaceship-titanic

Spaceship Titanic Kaggle Competition

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spaceship-titanic's Issues

Preprocessing: Age: Null values in age

Since we have null values in Age we need to define an strategy to treat them:

  1. We can fill the NaN with the mean or the median
  2. We can fill the NaN with random numbers conserving the mean and the median.
  3. We can delete the rows.

low peformance compared to good aplications of the models

We find that other competitors with apparently worse data preprocessing (label encoding for preprocesing the database, not normalizing numeric variables, etc...) have quite better performance for their models. Things that maybe explain this:

  • Null values in the categoric parameters must be fill with the mode of those variables.
  • Not join the luxury expenses

Preprocessing: Luxury Expenses Treatment

We have to process the parameter in the ritgh way, this means not just filling the null values with zeros but like we stablish in the notebook:

  • Zeros for the cryosleepers
  • And the mean for each group fo VIP and no VIP passengers.

Test

Do the preprocessing to the test data.

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