Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)

hi, Thanks for the video, what is meant by macro avg and weighted avg in the classification report?

very well explained!!!!

I loved it. Thank you

Thank you for the explanation on precision and recall. Very easy to understand ❤

"import seaborn as sns" is missing in the code. Add it before running

Thank you

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This is the best explanation anyone could ask for! 😊

Very good explanation!

It is one of the best content ever seen 👏

Very well explained with precision, hence really easy to recall!

can you give me this ppt

Excellent video!

Positive is one class (Dog) and negative is another class. Now its easier to remember if we just say in our head True dog vs False Dog instead of True positive and False Positive. Vice versa for other class. Replacing positive and negative with the respective class name.

best confusion matrix explanation video . thanks👍

Thank you so much! 🙌🏻Very well explained. From Germany.

You are a real gem for this well detailed explanation

Finally. An explanation of precision and recall that makes sense! Great stuff

I swear this guy's the best

thanks so much man

right to the point, thanks!

Excellent explanation, would have been complete if you have also explained why we need F1 score along when we have precision and recall in place.
Thank you for the concise and to the point illustration.

You are awesome

What is support,Marco avg and weight avg please explain them

This is nice session 👍

Very well explained

can we get the slides used for the course?

Vow excellent

you were earning 20 lakh per month. that is a dream for many people

if you get an error saying 'sns' not defined, add "import seaborn as sns" to you code

Thank you am 😊 happy and submitting my assignment and presenting at work tomorrow

great video

Mind blowing explanation bro. Superrrrb.. you nailed the concept. Thank you so much

Thank you

Best explanation ❤

Explicit Manner.

very very good video thank you a lottt

This video cleared my doubts.

Thanks

Very nice explanation ❤

one of the best explanations with examples of Accuracy, Precision and recall in ML

perfect explanation. many thanks bro... 👏👏👏👏👏

Great video!

Thank you very much! That was a great explanation.

nothing