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 "
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.
Prism you are very kind. Thanks for your comment.
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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.
Ditto! Also, I too would really like a Jalayer Academy video about the R Caret package.
Vi ambos videos (using C5.0 and rpart()). son complementarios y muy bien presentados. Gracias Jalayer.
YOU ARE A LIFE SAVIOR SIR
Great step-to-step explanation!
Thanks for explaining in easy way.
indeed very nice and well explained
This is a great video thank you
Good explanation. thanks
thank you so much for the tutorials !
Thanks for the tutorial
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
thanks for the video Jalayer Academy
Thank you very much. A great video
Very informative tutorials. One note: rpart didn't use the sepal length and width atributes. Fancy that.
I like this tutorial its great - I changed to type 1 for all labels tho:-)
Great video, how to calculate goodness of fit criteria such as r square, adj. r square etc?
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??
excellent
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%.
I don't understand why the nodes 4 and 5 are not used ? I notice that much
u r great
@15:07 what do you mean by? -> to see how well this model "generalizes"
It will be good to make video with cross validation in rpart
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?
Thanks man.
how do you input test data (in this case with no species names assigned) into the classification tree to be sorted?
+Richard Gunner i believe not
m3
it's ok now. m3
thanks
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.
+Arindam Samanta I think you forgot to load the library in r: library(rpart)
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
help me this please
how can ı imply c50 winrar ? ı couldn do it