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 30, 2019 in Data Analytics by Sophie may
• 10,570 points

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.

Hope this helps!

Join Data science with R course to learn more about it.


answered Apr 30, 2019 by Tyrion anex
• 8,690 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
• 4,640 points
+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 2, 2020 in Data Analytics by ramthotahappy
• 160 points
+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 9, 2018 in Data Analytics by Abhi
• 3,720 points
+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
• 10,840 points
0 votes
1 answer
+1 vote
3 answers

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

Try this: df$symbol <- as.character(df$symbol) df$symbol[df$sym ...READ MORE

answered Jan 11, 2019 in Data Analytics by Tyrion anex
• 8,690 points
+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
• 8,690 points