Cross Validation In Machine Learning | Cross Validation | Machine Learning Tutorial | Simplilearn

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  • Опубліковано 1 гру 2024

КОМЕНТАРІ • 8

  • @SimplilearnOfficial
    @SimplilearnOfficial  4 роки тому +1

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  • @adeyemiemmanuelsegun2024
    @adeyemiemmanuelsegun2024 Рік тому +2

    Why not use one hot encoding for the categorical features/variables

  • @Simar2222
    @Simar2222 3 роки тому +3

    Good explanation!

  • @MrMusicBA
    @MrMusicBA 3 роки тому +6

    Hi, I love your videos classes but I must say that you committed a big mistake in this video, you choose KNN model instead LR because you said that KKN have less error but your metric is Accuracy, so as much higher is better, in this case, is better choice LR model

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 роки тому

      Glad you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!

  • @olaoluwaogunsola5205
    @olaoluwaogunsola5205 11 місяців тому

    cross validation works better on small datasets than train_test_split right?

  • @GaryRey-fq9oz
    @GaryRey-fq9oz Рік тому

    Hello Sir, thanks for the video, But why is 0.77 accuracy better than 0.79