Random Forest from Scratch

• Github Repo

• Nov, 2024

I coded a Random Forest (RF) Model and Decision Tree from scratch (using only Numpy), achieving an 88% accuracy (for Random Forest) on UCI Census Income Dataset. The goal is to use this RF Model to predict whether an individual's annual income is >=50,000.