Random Forests with caret: Accuracy and variable importance

Download the script at:
github.com/mariocastro73/ML20...

[@SergioGarciaMora]

Thank you Mario, it was really useful. And I like that is a brief video too 😁

[@poojamahesh8594]

after variable selection, i need find the accuracy of the model again...please tell me how to do..please

[@warunibalasooriya1802]

Error in model.frame.default(form = data$Total.GDP ~ ., data = data.trn, :
variable lengths differ (found for 'Year')
why this error appears when I run the code for fit.cv ?

[@user-qd8tm3if2g]

Thank You🙏

[@tanayanaik6912]

what is $funalmodel in rpart that you have mentioned ????

[@alessiogiannelli6246]

This isn't a random forest, this is only a trivial decision tree.

[@robschultz3758]

how can you tell? How would you alter the code to make it random forest instead?