What is a random forest model and how do you build a random forest model?

A random forest is a buildup of a number of decision trees. The steps to building one are :

1. Randomly select “k” features from total “m” features where K<<m.

2. Among “k” features, calculate the node “d” using the best split point.

3. Split the node into daughter nodes using the best split.

4. Repeat these last 2 steps until leaf nodes are finalized.

5. Build the forest by repeating steps 1-4 for “n” number of times to create “n” number of trees.