Understanding Mean Absolute Error and Mean Squared Error as ML metrics and loss functions

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  • เผยแพร่เมื่อ 14 พ.ย. 2024

ความคิดเห็น • 24

  • @reganmian
    @reganmian 8 หลายเดือนก่อน +1

    I'm in a graduate level statistical inference course. I only had probability in undergrad with no statistics. This was such as nice and fast explanation to give motivation to why I'm learning this. Rigor has it's place, but I needed this

  • @StanleyAloh
    @StanleyAloh 2 วันที่ผ่านมา

    nice and intuitive. Thanks

  • @elzeardbouffier2904
    @elzeardbouffier2904 2 ปีที่แล้ว

    Leaving a comment to say that you have helped me greatly improve my research.

  • @mudassirawan9248
    @mudassirawan9248 ปีที่แล้ว

    Such a gem on this topic.

  • @pankajgoikar4158
    @pankajgoikar4158 2 ปีที่แล้ว +1

    Excellent, Everything is cleared. Thank you so much.

  • @tabbypp
    @tabbypp ปีที่แล้ว

    Amazing example, thank you!

  • @minhajulhoque2113
    @minhajulhoque2113 2 ปีที่แล้ว

    Really enjoy your videos. Very clear and concise. Thank you!

  • @ahaditab6364
    @ahaditab6364 2 ปีที่แล้ว

    Love all your tutorials .....keep going

  • @surflaweb
    @surflaweb 2 ปีที่แล้ว

    Thanks dr. Great explanation.

  • @teklehaimanotaman3150
    @teklehaimanotaman3150 ปีที่แล้ว

    Thank you very much for your outstanding tutorials. My question is why does an outlier remain important? before we train our mdoel, we have to clean outliers and interpolate missing values. Could you please explain this please? Thank you.

  • @brunospfc8511
    @brunospfc8511 2 ปีที่แล้ว +1

    Thank you professor, i have a question, given a confusion matrix result of my prediction as such : 1st line [3 0 0] 2nd [0 3 0] 3rd [1 0 2] , how to trace my way back to the image that generates de "1" in the third line ? So i can see if there's something particular with this image ? have a good day

  • @divyaanshsingh5308
    @divyaanshsingh5308 ปีที่แล้ว

    Quick question: COntradiction to your summary - If outliers are important shouldnt we use MAE instead of MSE since MSE is highly influenced by outliers?

    • @MuhammadAteebTaseer
      @MuhammadAteebTaseer 7 หลายเดือนก่อน

      idk hat you are trying to ask, but fundamentally, if we want our model to learn outlier affect in learning, we will use MSE since MSE penalizes the outlier by square factor and MAE does'nt as it will average out the big error(Outlier) so of no use for Tracking Outlier.

  • @ssyedyaseens
    @ssyedyaseens 10 หลายเดือนก่อน

    I am very new here.
    Why is mae an array during code demo?
    Isnt it supposed to be just one value?
    If x is data points, and y is some predicted value, y_delta could be an array, how can y_mae be an array?
    Appreciate any help. Thanks

  • @Mojtaba-Sirati-Amsheh
    @Mojtaba-Sirati-Amsheh 2 ปีที่แล้ว

    please, make a video about GRAD_CAM for image regression tasks

  • @KN-tx7sd
    @KN-tx7sd 2 ปีที่แล้ว

    Sir, we now often see in some analysis people showing MAE as 0.20 ± 0.011 as well as R2 as 0.45 ± 0.028, can you kindly explain how these ± values are obtained for MAE and R2 for any analysis can any of the python packages can derive these values. Thank you

    • @DigitalSreeni
      @DigitalSreeni  2 ปีที่แล้ว +1

      One way to obtain +/- for MAE is when you average MAE values from multiple experiments and reporting the standard deviation.

  • @olaoyedamilola3899
    @olaoyedamilola3899 2 หลายเดือนก่อน

    At what level is MAE and MSE is accepted to be good or bad

  • @Mojtaba-Sirati-Amsheh
    @Mojtaba-Sirati-Amsheh 2 ปีที่แล้ว

    thank you

  • @gudguy1a
    @gudguy1a 7 วันที่ผ่านมา

    Good video there but it becomes irritating at times when the host's face is always there, superimposed over some of the screen content, e.g. formulas & examples...

  • @aryansakhala3930
    @aryansakhala3930 2 ปีที่แล้ว

    Professor, please consider my resume for research with you...

  • @RAZZKIRAN
    @RAZZKIRAN 2 ปีที่แล้ว

    contact mail id sir?

  • @nourammar4368
    @nourammar4368 10 หลายเดือนก่อน

    thank you