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94% accuracy with Random forest#1

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Commits on Sep 8, 2024

• Starter code

  

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• Data Cleanup

  

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• Initial PCA and model

  

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• Initial model with variable imbalance handled

  

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• Cleanup file

  

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• Add best variables

  

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• Cleanup

  

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• Change source for data

  

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• Use Random forest to predict instead of Logistic Regression. 94.08% accuracy

  

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• 94.21% acuracy

  

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• Push all files

  

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• 94.24

  

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Commits on Sep 9, 2024

• Remove unwanted files

  

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