Never Forget Again! // Precision vs Recall with a Clear Example of Precision and Recall

[@KimberlyFessel]

If you enjoyed this video and would like to learn about even more classification metrics in a clear, easy way 🍎🍊, check out a FREE PREVIEW of my full Classification Metrics course! kimberly-s-site-0700.thinkific.com/courses/classification-metrics?

[@jasonbotzas4528]

While this is an easy concept, in my tired state, you've been able to explain in 5 minutes what my professor took 45. You rock.

[@walruslink]

Considering I have the same professor, I agree

[@KimberlyFessel]

Excellent - glad to hear the concept was clear for you! Cheers 😊

[@ehsankhorasani_]

the very best explanation that I have ever seen

[@KimberlyFessel]

Wow -- thanks very much! Glad to hear you liked this one 😀

[@drbhupeshgour5801]

Great explained

[@MrChristonik]

I am an experienced ML engineer, and this is the one and only video that I will be sending to my interns from now on. PHENOMENAL work.

[@KimberlyFessel]

Thanks for that! Very glad you enjoyed it and a big hello 👋🏼 to your interns! 😁

[@jamesr141]

Kimberly Fessel you are a stone cold legend and you have literally changed my life. Are you a model? Because I recall you precisely.

[@arghyadas2836]

The best pickup line till date...

[@danielappiah7664]

Three years later and this video is still so helpful. By far the most intuitive explanation for some confusing terms. Thanks so much

[@KimberlyFessel]

😀 Most welcome! Glad it has been helpful for you after all this time

[@mangkhongsai9029]

I used to find precision and recall stuff difficult to understand. This is helping me a lot in understanding each of them thoroughly. Thanks for the explanation and the video.

[@uriastriumph4780]

This is the video that gives the explanation I didn't know I needed. My brain works best with analogies such as those you gave for preciSIon and recALL and so im glad you've explained it that way. Thank you.

[@FarizDarari]

It's not easy to present some data science material in an easy way. Thanks for making the easy to grasp video on accuracy vs precision vs recall! Looking forward to more tutorial videos!

[@KimberlyFessel]

So glad you enjoyed it -- cheers!

[@adityagitte]

This is the most intuitive video that I have seen on precision and recall, thanks a lot!!

[@wengkeeteh]

the matrices are literally called "confusion" matrix measures, I already feel confused by the name itself, but you have explained it so clearly and it helps me a lot! super super helpful, thank you for the great content!

[@KimberlyFessel]

So glad it helped!

[@MaksymOliinyk-z5u]

First data analysis tutorial in my life that i completely understood. thank you

[@chrischauhan1649]

This is the best explanation on the internet for this topic. Thanks, Kimberly.

[@rishidixit7939]

Very Nice Explanation Was studying about mean average precision but was not able to understand precision and recall clearly You made it so simple

[@sandeeepkiran1130]

Omg. Please make more. This is absolutely awesome. Even watching in 2x speed to cramp info for an interview. This is amazing. You are a godsend

[@KimberlyFessel]

Oh thank you! Glad to hear the video helped. And good luck with your interview!

[@wsuU2]

I have struggled with this concept for so so long, every time I need to go back and read some material on it to remember it because it was very confusing for me. And I have read up and watched so many different variations of people trying to explain this simple concept. With your video, I was able to understand it immediately and it is now so so clear in my head. THANK YOU! Subscribed and liked!

[@dipanjanpalchowdhury6012]

This is by far the most simple and concise explanation of this concept. Thanks for making this video.

[@KimberlyFessel]

Glad to hear it was useful! Cheers 😁

[@milanjain6295]

My respect for you has increased tremendously for explaining it in a way that’s damn easy !!!

[@yousseffarouk7861]

The way you explained it made it much easier to understand, it took my professor like whole 2 classes to explain this, but with just 5min from you, I understand it all, and I can solve all the questions now, thank you. KEEP IT UP!!

[@aishaevering5637]

I never thought I would love an explanation so much. Teach me all the things.

[@KimberlyFessel]

Why thank you! Sure thing 😁

[@philipabraham5600]

I believe you have the Best explanation of Precision & Recall, compared to the gazillion KZbin videos that I have looked up on this topic over the years. Love your apple and orange analogy.

[@KimberlyFessel]

Wow, thanks! I distinctly remember having the idea for this video... it felt like a thunder bolt strike! 😀🌩

[@queensley9006]

I wish I could like this a thousand times, thanks a bunch!

[@bhavyaasharma7504]

Best ever explanation I have ever seen till now, covering a lot of things.

[@nanaamaahenkan]

Thank you Kimberly, you are the best. Very simplistic explanation. Precise and accurate explanation.

[@KimberlyFessel]

Awww - thank you! Glad it helped, and I hope you'll be able to RECALL all the material for a long time to come 😉

[@ferdinandmoses9481]

A very brilliant teacher I have come across in my life. You deserve a better place in academic world

[@KimberlyFessel]

Thanks very much for such a great compliment!

[@walza5138]

Keep it up! I really love how you use visualizations and simply the explanations in a way that makes it easier to understand and remember.

[@KimberlyFessel]

So glad you enjoyed it - cheers!

[@Sickkkkiddddd]

Man, we don't appreciate youtube tutorials enough. Jeez... you guys are super heroes.

[@yuxrazafar8532]

OMG!!! Kimberly you are rocking!!! This is out of the world...

[@ranu9376]

Couldn't ask for a better explanation to these metrics. Thank you!

[@varunsagartheegala]

Rather than taking the common formula approach to teach, the simple and intuitive approach you took was awesome. One of the best ways I have come across to learn the difference between these two almost similar looking concepts. Amazing !!!!

[@KimberlyFessel]

Oh wonderful! I'm so glad you found this video to be helpful and enjoyed my approach. 😄

[@khalifatube9679]

thank you so much for also explaining benefit and showing the trade-off examples !

[@KimberlyFessel]

So glad you liked that part! Data science metrics can be tricky, so it's always a good idea to think about edge cases and what that means in the real world! 😄

[@sher.5027]

I was so much confused, this video helped me alot. Thanks for making the video.

[@grandhivenkatamanideep8465]

This is the best video that I have ever seen on precision and recall

[@MindsMusing]

one of the best explanation i have ever heard

[@mic9657]

This really is the best way for me to remember this. Well done!

[@KimberlyFessel]

So glad that helped you! I love a good mnemonic. 👍

[@PatoQueGira]

You have no idea how much this helped, thank you for the video!

[@poonamvarkhedi1016]

Thank you so much for this! Really helped visualize the decision boundary and how it effects these metrics.

[@KimberlyFessel]

So glad it was helpful for you! 😃

[@AteebAkmal-x5h]

This is the best video on precision and recall. I havee been looking at different articles on precision and recall but this one is best

[@KimberlyFessel]

Right on! Glad you liked it 😊

[@wanessasantana3106]

Great teacher! explains difficult subjects very easily!

[@riznimohamed]

Thank you so much, best simple explanation ever i had and i'm really thankful for the tip that how to remember the precsion and recall. I will not forget again!

[@ChintanThakkar-q5k]

Wonderful explanation !! The best video even seen on Precision and Recall !!

[@JohnWickea]

you rocks ❤ have been learning same topic from last few hours and didn't understand anything but your'e the only one who tells literally everything in just 5 mins. always straight to the point. Your'e awesome.

[@KimberlyFessel]

❤️ Excellent - glad you liked it!

[@umasharma6119]

You are very enthusiastic.liked your energy .thanks fir the explanation

[@1457Davi]

By far, the best video on the explanation of these concepts

[@KimberlyFessel]

Thanks so much! 😊

[@hamade7997]

Yeah this is the best one out there. Sufficiently detailed, and simple enough to easily understand. Thank you!

[@vamsinvizag4936]

Oh my god, loved this video. Will never forget the difference again.

[@codermomnl3271]

Wow, you're by far the best teacher I've ever seen on youtube. Thx for sharing.

[@RenishMirani]

I would pay for this video... You are great... you really are.... thank you for saving my day!! You are great!!!

[@Rhapsody83]

Best explanation I've seen on these topics

[@himanshub18]

Superb! I haven't seen an explanation better than this. Thanks Kimberly :)

[@shujahtali]

you demonstrated it in a very simple effective and straight forward way♥

[@KimberlyFessel]

So glad you enjoyed it! 😁

[@khursiahzainalmokhtar225]

I've been reading and re-reading about this topic plus the confusion matrix for months! And I understood this concept in just 5 minutes! Thank you so much!

[@shashankgarg7476]

thank you It was amazing and now these are permanent in my brain until I die

[@cahayadisumitro27]

this is the best explanation ive seen so far

[@KimberlyFessel]

Thanks very much - glad you enjoyed it!

[@muhammeddal9661]

Thank you for the excellent intuitive explanation. Great job Kimberly

[@KimberlyFessel]

Thanks very much - glad to hear it was intuitive!

[@trevorpoole4494]

Thanks

[@KimberlyFessel]

Thanks so much for supporting my channel! 😁

[@kgtw5506]

i have been struggling to understand these... .this is the best vid i ever saw for explanation of precision n recall... please make more such vids... kudos...

[@KimberlyFessel]

So happy to hear that! Any suggestions for other video topics?

[@mocoebabymom]

your explanation is very intuitive with how you move the model. much thanks!

[@Trp1013]

Very underrated explanation. Good job

[@KimberlyFessel]

Why thank you! Appreciate your kind words 😀

[@autumnleaves9930]

Thanks Kimberly, I finally understand the difference between the two. Perfect explanation, the visuals really helped.

[@agila.p9807]

You have an amazing talent in simplifying complex topics, great teacher!

[@MoumitaHanra]

Best explanation ever...I never forget this explanation..

[@KimberlyFessel]

Thank you so much! Glad it is memorable for you!

[@nitishbhardwaj471]

It was very easy to understand in this way. Thanks a lot!

[@worakornk1023]

THANK YOU!!!! you are helping this CS student pass his test :)

[@KimberlyFessel]

🙌 Nice! Good luck on your test! 😄

[@kant.shashi]

best explanation ever .. resolved all my doubts .

[@KimberlyFessel]

Thanks so much - glad it helped!

[@joaquintrippgudino3707]

I love the easy way you explained it in just 5 minutes!

[@marcin6386]

Thank you so much, Kimberly! I really needed this explained in this way, as it is strongly correlated with the confusion matrix. I was constantly... confused.

[@honeybhardwaz7461]

What an awesome explanation, great work Kimberly, Finally cleared my confusion on these two metrices.

[@SundasKhalid]

This was brilliant!

[@ganpatinatrajan5890]

Very beautifully explained the complex concept ... One of the best explainations I HV seen 👍👍👍👍🙌🙌🙌

[@datasciyinfo5133]

Thanks! It’s really hard to remember these two. Your visuals and the mnumonic at the end really made it clear. Now I think I will remember this next time, after a few dozen practice sessions.

[@jm10oct]

And only now I could understand the real meanings of those metrics. Thanks!

[@muhammadrezaphahlevi1573]

Thank you so much that you made this video, very helpful 🙏

[@KimberlyFessel]

So glad to hear it helped you! 😄

[@maheshpun8624]

Very clear and simple explaination!

[@abhishekchanda4557]

Thank You! I love you for making the topic as clear as crystal.

[@memes_world971]

Best Explanation Ever I have seen

[@loganboyd]

AS someone who isn't an ML engineer and is trying to learn enough to pass certification exams and take part in conversations, this video was excellent. Can't imagine an easier way to explain these terms.

[@KimberlyFessel]

So glad to hear that! 😁

[@nguyenlan9248]

Great, now I understand these metrics. Thanks a bunch!

[@KimberlyFessel]

Most welcome! Glad it helped 😁

[@moniquemadelin6537]

This is the best explanation on precision and recall, I finally understand the concept. Thanks!

[@KimberlyFessel]

So glad to hear that you finally understand -- cheers! 🍎

[@jimmymemon]

She is an example of what we call 'Simply Genius' .

[@beneyal89]

Where have you been all my life?! This explanation was so good, I think I'll actually remember what each metric is, and I've been doing ML for ~7 years now!

[@ahmedabubakr2790]

I'll call this video " Explain to me as if i'm 5" and it worked like magic... Thank you for a great clear explanation

[@KimberlyFessel]

Most welcome - glad you enjoyed the style!

[@kwstasvasiliadis5081]

Thank you for this, really! Reading it again and again made it look very confusing, but your example made everything clead and will be engraved in my mind.

[@YannisToYou]

Thank you so much for this creative visual simple explanation of the concept. The way you reach how to memorize the PreciSIon side vs recALL side is an awesome way which I instantly remember vividly. Thank you and keep up the great work! I have subscribed!

[@mohitwani7203]

This video makes precision and recall very easy to understand.

[@saumilkapadia88]

This is THE best explanation and fit inside my mind finally after reading a lot

[@abdulalimbaig3286]

Thank you for this tutorial Kimberly, I got the right information for my masters' thesis submission which is due very soon. This really helped.

[@arunaldo1089]

PRECISELY explained... Now I will be able to RECALL them ACCURATELY anytime 😀

[@sunwukong6268]

I am currently in a Data Science Training (Bootcamp) and our Mentor showed this to explain Precision and Recall...awesome. So easy to comprehend und remember with your example and visualization. Thanks ❤

[@nataliatenoriomaia1635]

God bless you! I am so glad I found your video. I have been reading about this concepts in the last days, but none of the explanations really sticks to my mind, while yours is perfect! Thank you.

[@KimberlyFessel]

Oh so glad to hear that! Hoping this explanation sticks with you for a long time 😄

[@lade_edal]

Quite superb teaching. Thank you.

[@lade_edal]

ps was my marriage proposal deleted :(

[@KimberlyFessel]

Haha -- I didn't delete it but I guess KZbin decided to. Thanks very much and glad you are enjoying the videos! 😄

[@bantuthomas]

Awesome explanation. You killed it. Thanks for an awesome explanation.

[@KimberlyFessel]

Most welcome! Glad you liked it 😄

[@ParthDavee]

Thank you for a wonderful explanation

[@teamtom]

🎯 Key Takeaways for quick navigation: 00:00 🍎 Precision and recall are classification metrics used to evaluate model performance in predicting classes. 01:13 🔢 Accuracy is the ratio of correct predictions to total observations, but it can be misleading for imbalanced classes. 01:54 🎯 Precision focuses on correct positive predictions within the predicted class, calculated as true positives divided by total predicted positives. 02:34 🔍 Recall measures the proportion of actual positives correctly predicted, calculated as true positives divided by total actual positives. 03:17 ⚖️ A trade-off exists between precision and recall; adjusting decision thresholds impacts both metrics. 04:12 🔄 Enhancing precision may lower recall, and enhancing recall might lower precision. 04:53 🎚️ The F-score combines precision and recall using the harmonic mean and is useful for overall model assessment. Made with HARPA AI

[@aadisharma3514]

Thanks, u makes my confusion away... Love from India

[@vighneshthakur.3493]

Amazing explanation. Thanks , this helped me clear up my confusion.

[@KimberlyFessel]

Glad it helped! 😁

[@hamedmirza-ardestani5070]

very simple and comprehensible, thanks

[@alexanderwitte9919]

Beautiful and simple explanation. Thank you for putting this together!!

[@snowballsimpson3887]

I needed this so badly. Thank you so much for explaining this.

[@desiintoronto8950]

great explanation in very easy way. thank you