R Tutorial 22: Decision Tree, Random Forest, Bagging, and Boosting

[@Chloholio]

How do we do hyper-parameter tuning for the boosted random forest?

[@cynical_dd]

Hi, Allen! It would be appreciated if you can share the dataset with me? Im studying this for my project as well. Thanks!

[@Jenny-tg2lb]

I appreciate your video! It helps me a lot!

[@soundbeans]

Hi, thanks for the video. In line 12, which column are you removing?

[@AllenKei]

Hi, Thanks for your question. The column I am removing is the Y in testing set. The predict() function takes (1) trained model, (2) X in testing set (no Y included), (3) prediction type, whether is for regression or classification. Thanks, Allen

[@gencytapia4881]

hi, do you have a video about OPTICS Algorithm on R, or please can you do it ?

[@shahidqazi5590]

Hi Allen, please guide me as i m doing my research for RNA cytocine but i want to make the ensemble model of RF, SVM and nnet. How can i do it.? please guide me

[@EpicMicky300]

bro......please write a script to go off of next time.

[@venture_lab]

uhmmm.

[@Actanonverba01]

Allen, I am running R version 3.4.4 (2018-03-15) and I cannot load 'tree'. Could it be deprecated?

[@AllenKei]

Hi, thanks for your question. I just tried and was able to install and call the library. Maybe try to update the version of R? I think there is version 3.6 now. Thanks, Allen

[@giovanilasberia6205]

Hi Allen. I am doing a research now about machine learning and it is my final project ti finish my bachelor degree of informatics engineering. My research is implementing Decision Tree C5.0 Algorithm in Predicting Cervical Cancer Risk. Would you like to help me to give a tutorial how to implement C5.0 in R? Thank you, Allen.

[@AllenKei]

Dear Giovani, Thanks for the question. I have looked into that package and made a simple video about it, not sure if this is helpful to you. Here is the link: kzbin.info/www/bejne/jpPXo4Gprrl4edk. Let me know if you have any additional question or comment. I found this package very interesting. Thank you so much for your suggestion! I like interesting and novel idea/topic! Allen

[@giovanilasberia6205]

Thank you very much, Allen. I will be very glad if you want to help me in my research if i have a question.

[@AllenKei]

Of course. Not sure I am able to help out a lot, but I can see what's the question first. Allen

[@rubyl6249]

Useful codes, but my lord, he is terrible at explaining verbally.