Handling Imbalanced Data in machine learning classification (Python) - 2

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  • Опубліковано 28 жов 2024

КОМЕНТАРІ • 9

  • @acmeag
    @acmeag 5 місяців тому

    thanks, nice explanation, thanks for article link

  • @younesgasmi8518
    @younesgasmi8518 8 місяців тому

    Thank you so much bro..my question is if Can I use undersampling techniques before Splitting the dataset into training and testing?

  • @radyoalmikyel6881
    @radyoalmikyel6881 Рік тому

    when i use shrinkage =0. n error occured :ValueError: Cannot losslessly cast from float64 to uint8 whatis wrong?

  • @ronniewongsoon2335
    @ronniewongsoon2335 Рік тому

    So for the abalone case, is it possible to predict the gender (just female or male) of an abalone given the continuous predictors?

  • @superfreiheit1
    @superfreiheit1 Місяць тому

    Good overview about all methods. But why he did not used a classification report. I get horrible results for the minority class still.

  • @abdulqadeerrasooli3489
    @abdulqadeerrasooli3489 10 місяців тому

    Hello sir
    how i can downlaod your dataset . i cannot find your dataset please tell me

    • @justintodata
      @justintodata  9 місяців тому

      There's a link to source of data in the description

  • @radyoalmikyel6881
    @radyoalmikyel6881 Рік тому

    shrinkage =0.1