R - Classification Trees (part 2 using rpart)

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  • Опубликовано: 16 сен 2024
  • Classification Trees are part of the CART family of technique for prediction. Here we use the package rpart, with its CART algorithms, in R to learn a classification tree model on the 'iris' data set available in all R installations. In this video I also compare our results from rpart to our results from C5.0 in the previous classification tree tutorial video called "

Комментарии • 39

  • @Prism684
    @Prism684 9 лет назад +10

    Great video tutorial. Standalone videos, doesn't require to refer other videos and is good for novice as well as expert on R. Thanks for upload.

    • @rdjalayer
      @rdjalayer  9 лет назад +1

      Prism you are very kind. Thanks for your comment.

    • @demanibarry8825
      @demanibarry8825 3 года назад

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  • @notperfectindividuals
    @notperfectindividuals 9 лет назад +4

    I have watched all your videos on Machine Learning and found them extremely useful. You are definitely one of those who can explain tricky concepts in a much simple way. Great job. Will look forward to more videos on topics such as Random Forests, R Caret package etc.. I am in the process of learning these, but not able to find good tutorial.. may be i am so much used to your way of explanations, .. finding it little difficult to digest others' teaching styles.. :)
    One again thanks for the great content.. Awesome.

    • @lexmurden5221
      @lexmurden5221 2 года назад

      Ditto! Also, I too would really like a Jalayer Academy video about the R Caret package.

  • @Wizhka
    @Wizhka 8 лет назад

    Vi ambos videos (using C5.0 and rpart()). son complementarios y muy bien presentados. Gracias Jalayer.

  • @hamzazwairy7075
    @hamzazwairy7075 5 лет назад

    YOU ARE A LIFE SAVIOR SIR

  • @diegofavoretto
    @diegofavoretto 7 лет назад

    Great step-to-step explanation!

  • @tradingtraveller05
    @tradingtraveller05 8 лет назад

    Thanks for explaining in easy way.

  • @prasunbhattacharjee8415
    @prasunbhattacharjee8415 9 лет назад

    indeed very nice and well explained

  • @rcruzalegui
    @rcruzalegui 3 года назад

    This is a great video thank you

  • @madhumohangandra6774
    @madhumohangandra6774 5 лет назад

    Good explanation. thanks

  • @c.m.8146
    @c.m.8146 6 лет назад

    thank you so much for the tutorials !

  • @karthibanp5862
    @karthibanp5862 8 лет назад +1

    Thanks for the tutorial

  • @darraghftown1
    @darraghftown1 7 лет назад

    Great video, easy to follow and very well explained. 1 question, what made you choose the Classification tree vs a Bayesian Naive vs a nearest nighbour. Thank you

  • @AdrianQuevedoperfil
    @AdrianQuevedoperfil 8 лет назад

    thanks for the video Jalayer Academy

  • @mohammedelfaramawi3028
    @mohammedelfaramawi3028 7 лет назад

    Thank you very much. A great video

  • @123gregery
    @123gregery 6 лет назад

    Very informative tutorials. One note: rpart didn't use the sepal length and width atributes. Fancy that.

  • @destinybradley7521
    @destinybradley7521 8 лет назад

    I like this tutorial its great - I changed to type 1 for all labels tho:-)

  • @louistyasi9478
    @louistyasi9478 2 года назад

    Great video, how to calculate goodness of fit criteria such as r square, adj. r square etc?

  • @syedhussainhaiderzaidi7875
    @syedhussainhaiderzaidi7875 7 лет назад

    Great video tutorial.I have a question that if i do not know the labels(e.g species ) of the test data then how can I know that which data_test_row have which label??

  • @kalyanasundaramsp8267
    @kalyanasundaramsp8267 6 лет назад

    excellent

  • @kristenwissmar4155
    @kristenwissmar4155 7 лет назад +2

    How can you see nodes 4 and 5? The nodes are 1-3, then it skips to 6 and 7. It would be helpful to see an example of all nodes, even if they are 0%.

    • @Jonas-lm4fh
      @Jonas-lm4fh 7 лет назад

      I don't understand why the nodes 4 and 5 are not used ? I notice that much

  • @kalyanasundaramsp8267
    @kalyanasundaramsp8267 6 лет назад

    u r great

  • @prasenjeetrathore
    @prasenjeetrathore 3 года назад

    @15:07 what do you mean by? -> to see how well this model "generalizes"

  • @krystekczystek5361
    @krystekczystek5361 7 лет назад

    It will be good to make video with cross validation in rpart

  • @michalis4409
    @michalis4409 7 лет назад

    Very good tutorial. I have a problem i have a table with 800 rows and 19 columns let's call it data, each column represents a different variable, when i run str(data) i take as a result all the variables as factors, even the classid, what should i do in order to use the rpart command?

  • @MohammedHamadii
    @MohammedHamadii 7 лет назад

    Thanks man.

  • @richardgunner9768
    @richardgunner9768 9 лет назад

    how do you input test data (in this case with no species names assigned) into the classification tree to be sorted?

  • @weichen9329
    @weichen9329 8 лет назад

    m3

  • @zknolz
    @zknolz 9 лет назад

    thanks

  • @arindamsamanta3543
    @arindamsamanta3543 9 лет назад

    Hello,
    I have installed "rpart" package in R and got the message
    "package ‘rpart’ successfully unpacked and MD5 sums checked
    The downloaded binary packages are in
    C:\Users\Arindam\AppData\Local\Temp\RtmpGkXqnt\downloaded_packages"
    But still I am getting the following error when I am tryong to use rpart function.
    Error: could not find function "rpart"
    Your tutorial is very nice. I appreciate your effort. Please help me to overcome this problem I am facing. Thanks a lot.

    • @juanli8368
      @juanli8368 8 лет назад

      +Arindam Samanta I think you forgot to load the library in r: library(rpart)

    • @aone-ck6yq
      @aone-ck6yq 5 лет назад

      I am also getting same error in rpart.plot.
      if I am adding library (rpart.plot) then it says there is no function with that name

    • @aone-ck6yq
      @aone-ck6yq 5 лет назад

      help me this please

  • @utkutarhan6029
    @utkutarhan6029 8 лет назад

    how can ı imply c50 winrar ? ı couldn do it