R programming: Using Caret package to implement Random Forest

0 votes
I am new to R and I want to know hoe random forest algorithm can be implemented using the CARET package.

Any help would be appreciated. Thanks in advance
Apr 29, 2019 in Data Analytics by Sophie may
• 10,100 points
82 views

1 answer to this question.

0 votes

You can check out the official docs of the CARET package on the official docs page:

There are four main categories:

  • caret Manual – Data and Functions
  • caret Manual – Variable Selection
  • caret Manual – Model Building
  • caret Manual – Variable Importance

This documentation is extremely helpful. Start your research by going through it.

answered Apr 29, 2019 by Tyrion anex
• 8,560 points

Related Questions In Data Analytics

0 votes
1 answer

Using dplyr package to summarise multiple columns - R

'dplyr' package provides 'summarise_all()' function to apply ...READ MORE

answered Jun 6, 2018 in Data Analytics by Bharani
• 4,580 points
1,121 views
+1 vote
1 answer
+4 votes
0 answers

I was unable to cluster the data points using dbscan in R programming

After using dbscan package I was given with ...READ MORE

Feb 1 in Data Analytics by ramthotahappy
• 160 points
272 views
+10 votes
3 answers

Which is a better initiative to learn data science: Python or R?

Well it truly depends on your requirement, If ...READ MORE

answered Aug 8, 2018 in Data Analytics by Abhi
• 3,720 points
223 views
+1 vote
2 answers
0 votes
1 answer

R programming logic

Use gsub to match the substring that we want ...READ MORE

answered Nov 16, 2018 in Data Analytics by Maverick
• 10,820 points
75 views
0 votes
1 answer
0 votes
2 answers

How to change the value of a variable using R programming in a data frame?

You are getting this error since the ...READ MORE

answered Aug 16, 2019 in Data Analytics by anonymous
• 32,490 points
17,844 views
+2 votes
1 answer

R programming: Drawing an xbar and R chart using qcc package

Try this: #x-Bar library(qcc) x=c(1080͵ 1390͵ 1460͵ ...READ MORE

answered Jan 25, 2019 in Data Analytics by Tyrion anex
• 8,560 points
348 views