Implementing a Machine Learning Paper: Building ID3 Decision Trees from Scratch!

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  • Опубликовано: 26 сен 2024
  • In this video, I implement the ID3 Decision Tree algorithm from the influential "Induction of Decision Trees" paper by J.R. Quinlan, published in 1986. This basic version of the algorithm does not include noise or unknown attribute handling. My goal was to replicate the results from the paper and demonstrate the power of ID3 Decision Trees! The repository contains code for the full class as well as code for testing the model on the popular Kaggle "Breast Cancer Dataset."
    Paper: Quinlan, J.R. Induction of decision trees. Mach Learn 1, 81-106 (1986). doi.org/10.100...
    Link to GitHub repo: github.com/cjp...
    Thanks for watching!

Комментарии • 3

  • @user-dk8lw1ly3l
    @user-dk8lw1ly3l 3 месяца назад +1

    even i didn't understand due my lack of skills and knowledge this is amazing keep it up !!!

  • @rocketsketch
    @rocketsketch 3 месяца назад

    Thank You.

  • @codyn
    @codyn 3 месяца назад +2

    cool video, I had to do this for my machine learning class last year. It was a good learning exercise and pretty fun as well