The Confusion Matrix in Machine Learning

all is good, except for the hitting desk part, which is frightening .

thanks for the great video! <3

I'm not good at English, but this video helps me understand what is confusion matrix more than my mother language video did lmao :")

Amazing!

I liked one of your last videos but in this one, I think the Wikipedia page (explaining the Confusion Matrix) beats you in clarity, and it also clarifies some other relevant metrics (not only accuracy).

Such a great video Thank you so much !!!! This helps me a lot <3

Thanks for the video but when I try to solve this example (explain below), things totally went wrong, I will be very pleased if you made a short video on it in the similar fashion. Thanks in advance.

Example:
There are two possible predicted classes: "yes" and "no". If we were predicting the presence of a disease, for example, "yes" would mean they have the disease, and "no" would mean they don't have the disease.

The classifier made a total of 165 predictions (e.g., 165 patients were being tested for the presence of that disease).

Out of those 165 cases, the classifier predicted "yes" 110 times, and "no" 55 times.

In reality, 105 patients in the sample have the disease, and 60 patients do not.

Sir
Your explanation is awesome
No words to define

very clear and simple explanation thanks you very much

WOW
what a video, I have read books and watched videos, but after wathcing this twice i can say i understood this to its fullest
Your Intuition is perfect. 👍

class A could be the negative class too and class B as positivwee

Another amazing video , your content is just top notch . best channel for data science in making.

3 minutes in and I'm glad that you made this video. Thank you 🙌

There's a similar pattern in your video and bnomial question 🧐

Another nice video!

Can you make a video on how to use binary classifiers for multi-class classification?

Your audio is clipping I think.

Is it true that You need to know classic Computer Vision to learn modern Computer Vision? What is roadmap for computer vision?