Time Series 101: sMAPE Forecast Accuracy

Поділитися
Вставка
  • Опубліковано 20 гру 2024

КОМЕНТАРІ • 7

  • @SimonZimmermann82
    @SimonZimmermann82 Рік тому

    Awesome explanation

  • @SuperHddf
    @SuperHddf Рік тому

    Excellent, thank you ❤

  • @lbognini
    @lbognini Рік тому +3

    At 10:13, the last column is not sMAPE but sAPE. This can be confusing.
    Great job nonetheless. 👍🏾

    • @BrandonFoltz
      @BrandonFoltz  Рік тому +2

      True! I got ahead of myself but hopefully everyone understands. ☺️

    • @lbognini
      @lbognini Рік тому +1

      @@BrandonFoltz YEAH!
      I knew nothing about sMAPE before your video. My comment does show it was understandable. Yet, I had to think twice before I got the sequence right. 😉
      In the same way you try to make us better through your videos, we also try to be useful through our feedbacks that we hope will make things better and better.
      Thanks for being such open-minded. 👍🏾

  • @FredoCorleone
    @FredoCorleone Рік тому

    Why did you use At instead of Yi? I think it should have been i because of the summation has i=1 to n and Y because in the first or second video of the previous playlist you introduced Y as value for a given period, not A

  • @sanjaybhargav8896
    @sanjaybhargav8896 Рік тому

    Hello Brandon,
    Can you recommend me books that help to improve my probability and statistics for machine learning