Random Forest In R | Random Forest Algorithm | Random Forest Tutorial |Machine Learning |Simplilearn

This Random Forest in R tutorial will help you understand what is the Random Forest algorithm, how does a Random Forest work, and the applications of Random Forest. You will look at a machine learning use case implementation where we predict the quality of wine using a given dataset. Now let us get started with this Random Forest tutorial!

Below topics are explained in this Random Forest in R tutorial :
00:00 Agenda
00:49 What is Random Forest?
02:48 How does a Random Forest work?
05:17 Applications of Random Forest
07:48 Use case: Predicting the quality of the wine ( 07:48 )

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What is Random Forest Algorithm?
Random Forest is an ensemble Machine Learning algorithm. Ensemble methods use multiple learning models to gain better predictive results. It operates by building multiple decision trees. To classify a new object based on its attributes, each tree is classified, and the tree “votes” for that class. The forest chooses the classification having the most votes (over all the trees in the forest).

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[comditek]

19.48 mtry is the number of variables in the dataset (column names). Random Forest takes only the significant variables. Rule of thumb is the SQRT of the number of variables of the dataset. ex- in this wine dataset you have 12. sqrt of 12 is 3.5 which can be considered as 4. If you have 100 variables, mtry can be 10. It is the KEY feature of RF. Great video. Thought I might fill in there.

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Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Also, if you would like to have the dataset for implementing Random Forest in R, please comment below and we will get back to you. Thanks for watching the video. Cheers!

[sudiptomitra]

Would have liked more, had the interpretation of the model ("rf") visualization explained more for better understanding.

[zeliesieyadjeu]

Thank you so much for this great tuto! I am just starting machine learning and this helped me a lot... At what percentage error OOB can we say that the model is good?

[BasheerAhmad]

Usually, I prefer simplilearn whenever I search for a tutorial, as it gives complete details, but in this video, few things are not explained well, the worst thing is the author started talking about something and then cut > next slide.

[paulomathias]

Thanks for the video. The explanation is great

[fernandoortega]

Thanks for the nice explanation.

I've noticed that the data differs quite a bit from the various wine datasets found on the Internet. I can't get it right to try to replicate your results.

Thus, could you please send me the data?

Thanks a lot in advance.

[ishwarmorey]

"No one wants a poor lone standing tree out in the field; we want a forest, and so we going to cover Random Forest".. That is an extremely funny start to the video. Explanation is good though..

[kindolieddie]

@simplelearnOfficial.Thank you for the tutorial on Random forest. Could you please share the dataset with me. I will be glad

[patrickmatimbe]

thank you so much for this tutorial helped me a lot

[poojatikhe]

sir its a very good video, u explained it very well .. but from where i can get detail algorithm .. any book or journal or any base paper u can suggest?

[CM-xzsv]

How can I use these for a multivariate process? or Does the features of the data set matters? (for example, If ıt consists of catagoric variables, count variables, discrete varibles, dummies etc.)

[chloeyan]

Hi, thank you for this great video. Could you send me the dataset in this video? Thanks.

[zuyialwuris]

I`m getting a zero class error for my particular data sheet
please can you provide some assistance

[amanpatni]

Nice video, a ery good explaniation . Please send me the data set and also the solution .

[svenkatjkn]

Great tutorial. Can you please share the dataset?

[ewelinagrzesik]

I have a problem. I am using the same dataset and I still have this message after creating rf: 'na.fail.default(list(ocena = c(3L, 3L, 4L, 4L, 4L, 5L, 4L, 4L, ':
missing values in object.
What should I do?

[srinivasanbalan]

Hi, thanks for the video. Is it possible to have machine learning algorithms using Python?

[utkucansa]

it was really explanatory. Can you please send me the dataset please? Thanks in advance

[eswarr]

I would like to have the dataset for testing