Let’s imagine an example, you’d like to go on a date and want to pick up a restaurant for that. To make a selection you’ll ask your friend. Your friend (he or she) will ask you a few questions before recommending like what type of food you’d like, what is your budget or how far would you like to go? Upon the answers you give, he or she will recommend you a place.
From machine learning perspective the questions that you were asked are nothing but features.
Now, you would probably consider asking multiple friends and make the most suitable choice right? And each of your friend will ask you different set of questions, probably similar, but not the same.
This is exactly how a random forest will work.
(PS: This was just an illustrative example. A human brain doesn’t consist of DT models, but Neural Nets, and very complex)