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I have 4 years of experience in data domain and whenever I go for interview I come to this video to revise this concept. This is actually the best video on KZread available for this topic.

Honestly this is the best explanation I have ever seen. I have been studying ML for the past 3 months and have gone through many tutorials. This video straight away cleared my confusions about the confusion matrix. Thank You so much Dev !

This is the best explanation on performance metrics that I've found so far.

@codebasics

3 жыл бұрын

Glad you liked it John

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

Nice explained. A suggestion -> also discuss the *WHENs* of each concept you explain. Like, when we use Precisio, Recall, and F1-Score. By the way, great work.

Amazing explanation as always. Thanks a lot for consistently providing quality content.

Simple and straightforward explanation, Thank you very much, sir. My only suggestion is to put two or more topics in a slide and discuss them together, such as when relating the confusion matrix concept to precision and recall.

Thank you so much! You are the best teacher ever!

This is the most intuitive video on this topic. Thanks.

Thanks a lot!!! Only video that clearly explained precison and recall of BOTH the classes. I really gets confused after observing the results of sklearn classification report as mostly I was explained that positives are important den go for precision and if neg imp go for recall ...also tried to understand by formula but no use. Finally its clear. Thanks again.

Excellent exposition! I have seen some of your other videos in business statistics and they were equally accessible.

This was some seriously brilliant explanation. Takes patience and passsion. Thank you.

@codebasics

3 жыл бұрын

Glad it was helpful!

Your explanation is so clear and the complex confusion matrix concept is Clearly understood, Thank you

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

Yup, finally found the best explanation on classification report.. + easy to understanddd

You are a real gem for this well detailed explanation

This is the best explanation anyone could ask for! 😊

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

Thank you for such a great tutorial video. As you said on earlier on start video of your deep learning video series, concept are explained in very simple approach. It remind me the quote by A.E where he said "If you cannot explain in simple way , it means you didn't understood"

Brilliant Explanation!! Thanks a lot :)

Great explanation! Very helpful!

This is the way to explain all these measures. Nice video

Thank you very much for making it simple.

Great expaination. Thanks for this!

Thank for helping to understand these concepts.🥰❤

Thanku sir It's help me to understand the behind the scene related to f1_score,precision and recall. Thanku so much again...

awesome. thanks a lot, you are very professional and teach very clear thank you

thank you very much the only video i managed to figure out the metrics

Awesome explanation ..... These are ever confusing topics .... Which are made so simple in this tutorial...

Beautifully explained. Thank you so much sir

It is one of the best content ever seen 👏

Good explanation about precision and recall.

Thank you! Great explanation.

mast kaam krta h codebasics bhai tum

right to the point, thanks!

best confusion matrix explanation video . thanks👍

I loved it. Thank you

I swear this guy's the best

It was amazing, Thank u so much

The way you have explained these topics is fav bez I didn't get so clarity about these topic thank you explaining it means a lot 🙂

@codebasics

3 жыл бұрын

Glad you liked it pankaj

Brilliant Deep Learning Series sir😍

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.

Excellent video!

Super Excellent explanation, Dhaval, Sir.

I am so Thankful to you. Crisp and Clear. 🙏 🙂

@codebasics

2 жыл бұрын

You are so welcome

Thank you for such wonderful explanation

Wonderful explanation. Very easy to understand. Nice clear step-by-step approach. Thanks for providing a such nice tutorial. thank you.

@codebasics

Жыл бұрын

Glad it was helpful!

Very good explanation!

Hello great video, apply the following classifiers: KNN, K-Me, Bayes, Binary Neural Networks and make a comparison between the results with the various techniques (through precision, recall, loss), also showing the confusion matrices, so as to report with which technique I get the best results. can you give me some advice please? Dataset is the 20 newsgroup text

Wonderful explanation Sir !

You've explained this so clearly, thank you!!

@codebasics

3 жыл бұрын

Glad it was helpful!

You are an awesome teacher

One more question, in this example what would the "mean" average precision (mAP) be? And what's the difference between mAP and macro avg and micro avg

Great explanation 😄

Crystal clear explanation. Thank you

@codebasics

3 жыл бұрын

Glad it was helpful!

Thank you so much!

Honestly it helped me a lot 🐱

Very well explained

you are a true genious sir.... Your way of teaching and explanation is awesome sir.. I love this video😎😎😘😘☺☺👌👌❤❤🥰🥰😍😍🙏🙏🙏🙏🙏🙏

@karlkfoury2213

3 жыл бұрын

why genius lol

Thankyou very much it is very clear explanation ❤❤

Can you plz tell me how I can plot ROC curve for multilabel classification (5 labels of data) to compare various ML models accuracy?

This is awesome! Thank you!

@codebasics

3 жыл бұрын

Glad it was helpful!

im a bit confused on how to set up the truth and prediction folder. the prediction folder contains the images we feed after the model has been trained right? but what about the truth folder?

Sir can we apply this metrics in to the potato leaf disease detection project? And should we apply them before or after building the cnn model?

its so good, thanks

Great video

well done!

Thanks this video helped a lot

Wondering who are these people who unlike this video!! Very Well explained!!! Thank you

@codebasics

3 жыл бұрын

Glad it was helpful!

Each important evaluation metric in a nutshell... Thanks a lot

@codebasics

3 жыл бұрын

Glad it was helpful!

Extremely waiting series🙌🏻

@codebasics

3 жыл бұрын

Glad it was helpful!

Thanks so much! Well explained!

@codebasics

3 жыл бұрын

Glad it was helpful!

This is nice session 👍

good stuff man

Thanks for the video

Absolutely great presentation.

@codebasics

3 жыл бұрын

Glad it was helpful!

Great video!!!! Thank you!

@codebasics

3 жыл бұрын

I am glad this was helpful

Always thanks for your effort and hard work.

@codebasics

3 жыл бұрын

My pleasure!

thanks so much man

Good content... Nicely explained... Thank you...

@codebasics

3 жыл бұрын

I am happy this was helpful to you.

Superb!

Nice sir.Thanks for sharing

Could u tell me sir if any of the videos other than the GPU Benchmarking require cudannn and CUDA installation?

Thank you so much

Thanks!

Wonderful explanation sir, kindly do some example in R language, that was so helpful for our work sir. Your way of explaination is extraordinary sir, support us with R language also . Once again Thank you for the picture example for our understanding.

Subscribed. Explained well!!

@codebasics

3 жыл бұрын

Glad it was helpful!

Thank you sir ♥️

thank you so much

Thank you sir.

Sir urgent question I want to make my 'target' count same for 0 and 1 for whole DataFrame. With sequence 0,1,0,1 ..... Please reply

very well explained!!!!

@PSTWFB

Жыл бұрын

Artificial Intelligence, Machine Learning, Deep Learning, Supervised, Unsupervised kzread.infowYHXPNTTVBE?feature=share

Good explanation. How accuracy and precision are used in the real-world scenario? Can you share some references for the same

damn...! your explanation 🔥🔥🔥

Thank you

Sir you are Awesome. pls join as Amrita School of Computer Science Engineering we need lecturers like you.

Best Explanation. Thankyou Sir

@codebasics

3 жыл бұрын

Glad it was helpful!

Thank you sir

May I ask a question please? What are the required specifications for a deep learning training server? Thank you