Classification Metrics - EXPLAINED!!

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  • Опубликовано: 21 янв 2025

Комментарии • 10

  • @ankitachaudhari99
    @ankitachaudhari99 2 года назад +2

    Very helpful video to understand confusion matrix in a simple way!!
    Great job sir

  • @Shafeeka0001
    @Shafeeka0001 Год назад +1

    you made it easier sir thanks

  • @jaycharole8109
    @jaycharole8109 2 года назад +1

    You have explained in the best way. Thanks a lot sir.

  • @arshad1781
    @arshad1781 2 года назад +1

    Thanks

  • @abhichaudhuri1342
    @abhichaudhuri1342 2 года назад +1

    Thank you.. very well explained.
    Can we expect an end to end project on any predictive modeling use case?

    • @SatyajitPattnaik
      @SatyajitPattnaik  2 года назад

      Yes can, would highly expect an use case so that I can fulfill your request 😍

  • @neenu7133
    @neenu7133 2 года назад +1

    Nice tutorial

  • @ridhimjain8170
    @ridhimjain8170 2 года назад

    Sir, you have made the FP and FN on wrong sides in the confusion matrix.

  • @siddheshdeore8752
    @siddheshdeore8752 Год назад +3

    Bro, dont just make video, give reasons for things also. why,when to use precesion/recall/f1 . why accuracy not to use etc. You just run the commands and tell things.