IML13: K-fold cross-validation is better than train test split

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  • เผยแพร่เมื่อ 24 ม.ค. 2025

ความคิดเห็น • 11

  • @moali7156
    @moali7156 ปีที่แล้ว

    I am just beginner in machine learning but have found it more beneficial your class.

  • @codingwithelhacen990
    @codingwithelhacen990 9 หลายเดือนก่อน

    Thank you! I was looking for those exact regression model examples.

  • @kashifkhan8145
    @kashifkhan8145 2 ปีที่แล้ว +3

    I wish to be a teacher like you in the future, Thanks a lot for these tutorials.

  • @brefat
    @brefat 2 ปีที่แล้ว +2

    Subscribed! from Egypt. Keep it up

  • @firmanarihere
    @firmanarihere 2 ปีที่แล้ว +1

    Woaahhh... Thanks a lot..
    I need this one..

  • @YavuzDurden
    @YavuzDurden 2 ปีที่แล้ว

    How can i achive this data set created from cross validation?

  • @Nay92nve
    @Nay92nve 2 ปีที่แล้ว +1

    Is it possible I save each fold from the split train-test to it corresponding folders? I set my dataset into 5-folds, however, I'm not finding a way to save the training and test of each fold into a folder. My dataset comprises images and labels.

  • @dearmaths1687
    @dearmaths1687 2 ปีที่แล้ว +3

    Well done, I have been following the teachings here, can you help and post your jupyter notebook on your github page please, I want to be following you with the practical as well.

  • @shabinaa6407
    @shabinaa6407 3 ปีที่แล้ว +1

    theory followed by coding!! Thanks, Bevan to put all your efforts.

  • @elomoreloR6
    @elomoreloR6 2 ปีที่แล้ว +1

    I have a question. When I append the cross validation list before plotting i get the same value 10 times in the list. So the graph looks like a horizontal line.