in Data Science by
How Do You Work Towards a Random Forest?

1 Answer

0 votes

The underlying principle of this technique is that several weak learners combined to provide a keen learner. The steps involved are

Build several decision trees on bootstrapped training samples of data

On each tree, each time a split is considered, a random sample of mm predictors is chosen as split candidates, out of all pp predictors

Rule of thumb: At each split m=pvm=p

Predictions: At the majority rule

Related questions

0 votes
asked Jan 23, 2020 in Data Science by AdilsonLima
0 votes
asked Nov 29, 2019 in Machine Learning by SakshiSharma
+1 vote
asked Jan 24, 2020 in Data Science by AdilsonLima