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ROC and AUC Explained | Concept & Example

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In this video, I've explained the concept of ROC and area under the curve(AUC) with proper intuition and example. I have also discussed terms like sensitivity and specificity.
#machinlearning #roc #normalizednerd
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Опубликовано:

23 авг 2024

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Комментарии : 15

@user-th5iv7wn1p 7 месяцев назад

Good One. Short and sweet. You made the topic soo easy with the example.

@terryterry3733 2 года назад

excellent , you cleared all my doubt

@mamaa11 Год назад

Superb clarification

@sumitmhaiskar722 3 года назад

Sir very good explanation, keep making videos like this god bless you.

@NormalizedNerd 3 года назад

Thank you, I will!

@amitl2308 Год назад

Thank you very much!!

@pvtgcn8752 2 года назад

Excellent thanks

@NormalizedNerd 2 года назад

Glad you liked it

@bhargavigopi3041 4 года назад

Hi, video was helpful but you can use a larger cursor.

@NormalizedNerd 4 года назад

Thank you...suggestion noted :)

@NeeRaja_Sweet_Home 4 года назад

Hi Mate, By using AUC ROC curve tells about only TPR rate and AUC of the model it also tells about the threshold value of the model as well right… As per my understanding in the plot whenever the curve goes decreasing from point 2 to point 3 then at that particular point at Y axis is the best threshold value of the model is this right… Thanks,

@NormalizedNerd 4 года назад

@Rajesh B Yes, the point when the slope starts decreasing, it can work as a good threshold. But in real-world, you won't find smooth curves and the slope won't always decrease. So, it is better to choose the threshold by looking at the (TPR, FPR) pairs. If you find a suitable (TPR, FPR) according to your problem statement then choose the corresponding threshold. You can watch this video to know how to find a threshold of a point and area under curve: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-TEkvKx2tQHU.html

@NeeRaja_Sweet_Home 4 года назад

@@NormalizedNerd Thanks for the reply... But how to choose the best threshold for a model between 0 to 1 we will get many confusion matrix's there will be code for choosing best threshold.

@sandysandor6052 2 года назад

Literally bingewatching your vvideos right now and I am actually not interested in Machine Learning at all :D

@ronitganguly3318 2 года назад

The line below the yellow line is not worse than random prediction because you can flip its prediction 😉 although surely it's a bug! Always random prediction is the worst case scenario