Data Science Cycle/Random Forest

Question 1

When training a Random Forest classifier model, we generate hundreds of
trees and then aggregate the results of these trees. Which of the following
holds true for an individual tree in such a Random Forest model (Multiple
choice)?
a) The individual tree is built on a subset of the features.
b) The individual tree is built on all features.
c) The individual tree is built on a subset of the observations.
d) The individual tree is built using all observations.

Answer 1

a) The individual tree is built on a subset of all features

c) The individual tree is built on a subset of the observations.

Question 3

Write in possible data collection challenges in healthcare settings:
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