There's one parameter in RandomForestRegressor which is
bootstrap. By default
bootstrap : boolean, optional (default=True)
Whether bootstrap samples are used when building trees.
So from the docs if I set
bootstrap=False then I guess bootstrap samples are not used but I'm really confused on what is bootstrap samples mean here?
There were explanations but it's really confusing. Can someone please explain it in a simpler term? And also does
bootstrap=True help in improving the model accuracy?