93 Choosing The Right Model For Your Data 3 Classification | Scikit-learn Machine Learning Models

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  • Опубликовано: 18 окт 2024

Комментарии • 11

  • @laibarukhsar7359
    @laibarukhsar7359 9 месяцев назад

    Whole playlist is just a miracle ⭐⭐⭐⭐⭐⭐

  • @dswalkij3201
    @dswalkij3201 10 месяцев назад

    Very helpful for my assignment, thank you!

  • @dariustrabalza6629
    @dariustrabalza6629 11 месяцев назад

    This was a great video, that map is so handy great work. thanks a lot!

  • @abdellahzouggari3242
    @abdellahzouggari3242 7 месяцев назад

    This is magic!!! Thanks

  • @sivagaminagappan8730
    @sivagaminagappan8730 2 года назад

    That was very useful....Thanks

  • @NataliaRevenga
    @NataliaRevenga 9 дней назад

    Could it be that SVM didn´t work because you need to scale the data?

  • @tobias_cronback
    @tobias_cronback Год назад +1

    Why do you not scale all features before fitting?

  • @mernaatef1253
    @mernaatef1253 Год назад +1

    I need the map of regression and classification

  • @MsFsdfdsfdsfds
    @MsFsdfdsfdsfds 7 месяцев назад

    You have not shown the training accuracy of random forest classifier. The model might be overfitting.

    • @hmuhamadzulfitri
      @hmuhamadzulfitri 7 месяцев назад

      I thought overfitting typically occur when using logistic regression and we'll overcome it by using random forest? Now Im confused again 😂

    • @Emily-fm7pt
      @Emily-fm7pt Месяц назад

      That's what the split is for. You split into test and training, then he fit the model on the training portion and scored with the testing portion