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
3 жыл бұрын
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
3 жыл бұрын
Considering I have the same professor, I agree
@KimberlyFessel
2 жыл бұрын
Excellent - glad to hear the concept was clear for you! Cheers 😊
@ehsankhorasani_
3 жыл бұрын
the very best explanation that I have ever seen
@KimberlyFessel
3 жыл бұрын
Wow -- thanks very much! Glad to hear you liked this one 😀
@drbhupeshgour5801
2 жыл бұрын
Great explained
@Sickkkkiddddd
2 жыл бұрын
Man, we don't appreciate youtube tutorials enough. Jeez... you guys are super heroes.
@FarizDarari
3 жыл бұрын
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
3 жыл бұрын
So glad you enjoyed it -- cheers!
@RenishMirani
2 жыл бұрын
I would pay for this video... You are great... you really are.... thank you for saving my day!! You are great!!!
@MindsMusing
2 жыл бұрын
one of the best explanation i have ever heard
@walza5138
5 ай бұрын
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
5 ай бұрын
So glad you enjoyed it - cheers!
@wsuU2
2 жыл бұрын
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!
@AteebAkmal-x5h
3 ай бұрын
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
3 ай бұрын
Right on! Glad you liked it 😊
@milanjain6295
Жыл бұрын
My respect for you has increased tremendously for explaining it in a way that’s damn easy !!!
@umasharma6119
2 жыл бұрын
You are very enthusiastic.liked your energy .thanks fir the explanation
@bhavyaasharma7504
3 жыл бұрын
Best ever explanation I have ever seen till now, covering a lot of things.
@worakornk1023
8 ай бұрын
THANK YOU!!!! you are helping this CS student pass his test :)
@KimberlyFessel
8 ай бұрын
🙌 Nice! Good luck on your test! 😄
@grandhivenkatamanideep8465
Жыл бұрын
This is the best video that I have ever seen on precision and recall
@MoumitaHanra
8 ай бұрын
Best explanation ever...I never forget this explanation..
@KimberlyFessel
8 ай бұрын
Thank you so much! Glad it is memorable for you!
@saumilkapadia88
Жыл бұрын
This is THE best explanation and fit inside my mind finally after reading a lot
@SundasKhalid
Жыл бұрын
This was brilliant!
@vamsinvizag4936
Жыл бұрын
Oh my god, loved this video. Will never forget the difference again.
@mocoebabymom
2 жыл бұрын
your explanation is very intuitive with how you move the model. much thanks!
@joaquintrippgudino3707
2 жыл бұрын
I love the easy way you explained it in just 5 minutes!
@muhammeddal9661
3 жыл бұрын
Thank you for the excellent intuitive explanation. Great job Kimberly
@KimberlyFessel
3 жыл бұрын
Thanks very much - glad to hear it was intuitive!
@uriastriumph4780
Жыл бұрын
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.
@abhishekchanda4557
2 жыл бұрын
Thank You! I love you for making the topic as clear as crystal.
@jimmymemon
2 жыл бұрын
She is an example of what we call 'Simply Genius' .
@honeybhardwaz7461
3 жыл бұрын
What an awesome explanation, great work Kimberly, Finally cleared my confusion on these two metrices.
@mangkhongsai9029
2 жыл бұрын
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.
@tanishqsirohi2385
2 жыл бұрын
Tomorrow is my exam, ma'am your 5 minutes explanation cleared my all the doubts and I understood everything. Thank You so Much 💓
@chrisharden7033
2 жыл бұрын
Charming explanation! thank you!
@himanshub18
Жыл бұрын
Superb! I haven't seen an explanation better than this. Thanks Kimberly :)
@kwstasvasiliadis5081
2 жыл бұрын
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.
@chukwuka-steveorefo1812
2 жыл бұрын
You just dropped a bomb of knowlegde on me and in such a intuiative way. Thank you
@jamesr141
2 жыл бұрын
Kimberly Fessel you are a stone cold legend and you have literally changed my life. Are you a model? Because I recall you precisely.
@turtlegangbigshells
3 жыл бұрын
This makes so much sense now. Thank you!
@KimberlyFessel
2 жыл бұрын
Oh wonderful! Glad it clicked for you - cheers 😊
@vimalalwaysrocks
2 жыл бұрын
This definitely helped me.. Guess this is going to be my starting video to rest of all your content.. I have sub'ed!
@snowballsimpson3887
Жыл бұрын
I needed this so badly. Thank you so much for explaining this.
@Teaktrades
2 жыл бұрын
go girl. you are the real deal. you just got a subsccriber. thanks for this wonderful explanation
@alexanderwitte9919
Жыл бұрын
Beautiful and simple explanation. Thank you for putting this together!!
@sidchakravarty
2 жыл бұрын
Thank you for the explanation. It's super easy to understand and very intuitive. Why can't grad school lectures be this easy to understand?
@relaxvibes9867
2 жыл бұрын
😂😂😂 i thought the same things.
@knowledge_of_islam_mh
11 ай бұрын
good explanation, please make a video on AUC as well.
@DISHANKADHIKARI
9 ай бұрын
You deserve to be subscribed. Respect ❤
@KimberlyFessel
9 ай бұрын
I appreciate that -Thanks!
@fernandosanchez5117
5 ай бұрын
it is the best explanation I found
@KimberlyFessel
5 ай бұрын
Thanks much! 😁
@lade_edal
3 жыл бұрын
Quite superb teaching. Thank you.
@lade_edal
3 жыл бұрын
ps was my marriage proposal deleted :(
@KimberlyFessel
3 жыл бұрын
Haha -- I didn't delete it but I guess KZitem decided to. Thanks very much and glad you are enjoying the videos! 😄
@pooriaazizabadifarahani9247
2 жыл бұрын
Very good Video. Thanks for sharing !
@EyeofEthiopia
3 жыл бұрын
Thank you and explained very clearly
@KimberlyFessel
3 жыл бұрын
Awesome - thank you and glad it helped!
@veeraiah
Жыл бұрын
Awesome Lecture. I am clear now.
@Ovationification
3 жыл бұрын
Excellent description of these two metrics! Thank you!
@KimberlyFessel
3 жыл бұрын
Most welcome! Glad to hear you enjoyed this description - I certainly had fun making this video!
@hyunbaekim6679
3 жыл бұрын
Awesome, your explanation was very easy to understand the concept. Thanks.
@KimberlyFessel
3 жыл бұрын
Most welcome 😃 Glad to hear my explanation helped!
@KiranSharma-ey6xp
2 жыл бұрын
Nicely explained, specially trad-off
@cangum3832
2 жыл бұрын
what an excellent explanation:) thank you
@rushikeshdarge6115
2 жыл бұрын
Awesome trick to remember !!! If you can also add F1 score that would be the cherry on cake !! Thank you...
@abdelkaderzakane1341
2 жыл бұрын
You are awesome, I got the precision and recall
@lasse_myllarinen_kanava_12
9 ай бұрын
this is the best. Can not thank you enough.
@SedaSch
8 ай бұрын
Amazing explanation!
@KimberlyFessel
8 ай бұрын
🙌 Thanks! Glad you like it.
@뽀야미궁둥이
2 жыл бұрын
You're better than a university professor :)
@Puma_178
2 жыл бұрын
you explained it so well, great video thank you
@РусланНурутдинов-ш9к
3 жыл бұрын
Brilliant explanation! Many thanks
@amirhosseinrahimi3964
Жыл бұрын
well explained! Thanks
@snehanangunoori7838
3 ай бұрын
Amazing video! Thank you so much
@KimberlyFessel
3 ай бұрын
You're so welcome! 😃
@100rab4
3 жыл бұрын
Excellent Video, thanks a lot. I was struggling from a long time getting my head around it.
@KimberlyFessel
3 жыл бұрын
Oh that's so good to hear! Very glad that this video helped 😀
@rlmadhu
11 ай бұрын
good one mam ..easily got abt recall and precision after watching your video. can u post other ML models as well if possible ..i like ur explanation
@saridesaibabji6839
3 жыл бұрын
Very nice explanation
@KimberlyFessel
3 жыл бұрын
Thanks very much!
@robertthornton9427
6 ай бұрын
Super helpful, thank you.
@KimberlyFessel
6 ай бұрын
Excellent - glad it helped! 👍
@divyayadav132
2 жыл бұрын
Never thought it was this easy! Thanks a lot @kimberly
@bogdanpashchenko2142
3 жыл бұрын
That's an awesome explanation, I finally get it, thanks! Great way to remember how to distinguish those too 👍🏻
@KimberlyFessel
3 жыл бұрын
Excellent -- so glad you enjoyed the explanation and will now remember precision and recall! 😄
@akshaychoudhary623
Ай бұрын
Mamacita, please reupload the "No Confusion Matrix" video. I think it's not there anymore. Also, this video is a great explaination as well, so thanks for that.
@KimberlyFessel
Ай бұрын
Most welcome for the explanation! It's unlisted, but you can still find the "No Confusion Matrix" video here: kzitem.info/news/bejne/wJmmz6mDrnibZoo 👍
@varunsagartheegala
3 жыл бұрын
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
3 жыл бұрын
Oh wonderful! I'm so glad you found this video to be helpful and enjoyed my approach. 😄
@codingparas
6 ай бұрын
Best explanation
@sushantpenshanwar8038
10 ай бұрын
Precision : Performance of one class with respect to all the classes Recall : Performance of class with respect to its all the elements.
@arunaldo1089
2 жыл бұрын
PRECISELY explained... Now I will be able to RECALL them ACCURATELY anytime 😀
@pranjal86able
2 жыл бұрын
thanks! very helpful.
@candidajeremiah332
3 жыл бұрын
So well explained thank you!
@KimberlyFessel
3 жыл бұрын
You're very welcome - cheers!
@jeromemarbebe3791
Жыл бұрын
Thank you so much 😀
@thelastcipher9135
2 жыл бұрын
So recall on apples gives you an idea of the precision of classifying oranges? Grasping why precision is important is intuitive, but I am not quite sure with recall.
@hiuyi6350
3 жыл бұрын
Understood more in 5 minutes than my 1.25 hour lecture :D
@shashankgarg7476
Жыл бұрын
thank you It was amazing and now these are permanent in my brain until I die
@ParthDavee
2 жыл бұрын
Thank you for a wonderful explanation
@AlekosEscu
2 жыл бұрын
Thank you!
@robosergTV
Жыл бұрын
clicked for me, thanks!
@Bbdu75yg
Күн бұрын
Just awesome !
@KimberlyFessel
12 сағат бұрын
So glad you liked it! 😀
@BibleSamurai
2 жыл бұрын
man, i watched so many videos and this one broke it down. u should put up a course on udemy. i would buy it
@teamtom
Жыл бұрын
🎯 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
@mdomarfaruque493
2 жыл бұрын
Wow jajakallah khairan
@MrChristonik
6 ай бұрын
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
6 ай бұрын
Thanks for that! Very glad you enjoyed it and a big hello 👋🏼 to your interns! 😁
@gregorypotter1668
3 жыл бұрын
Great video, nice job.
@KimberlyFessel
3 жыл бұрын
Thank you - glad you enjoyed it! 👍
@adityagitte
Жыл бұрын
This is the most intuitive video that I have seen on precision and recall, thanks a lot!!
@jane-lyd
Ай бұрын
thanks for this great explanation but i missed a thing. for calculating the succes of whole model, are we going to use precision value for only one side? or are we going to calculate the precision and recall value for both apple and orange classes?
@KimberlyFessel
Ай бұрын
Such a great question! 🙌 With a binary problem like this one where there are only two classes to predict, you will use precision/recall for just the minority class (the side with the fewest observations) to report the success of the model. For a multiclass problem where there are 3 or more types of outcomes, you would typically choose an aggregation strategy (micro-, macro-, or weighted averaging). And there's an article all about multiclass metrics in my new Classification Metrics course if you're interested (kimberly-s-site-0700.thinkific.com/courses/classification-metrics)! 👍
@ehsankhorasani_
3 жыл бұрын
please make a video about loss surface
@KimberlyFessel
3 жыл бұрын
Very cool -- thanks for the suggestion!
@ehsankhorasani_
3 жыл бұрын
@@KimberlyFessel Thanks alot. I am waiting for it 🥰
@ashutoshpanigrahy7326
Жыл бұрын
Awesome!
@bejoyp
Жыл бұрын
Accuracy is ( Correct Apples + Correct Oranges )/ (Apples + Oranges). Precision is Correct Apples /(Incorrect Oranges + Correct Apples). Recall is Correct Apples / Apples
@MehediHasan-xu6zs
2 жыл бұрын
wow...LOVE YOU جَزَاكَ ٱللَّٰهُ خَيْرًا
@ganpatinatrajan5890
2 жыл бұрын
Very beautifully explained the complex concept ... One of the best explainations I HV seen 👍👍👍👍🙌🙌🙌
@kslaoui
10 ай бұрын
So good! Thanks again (just watched your video on 'NO' confusion matrix)!!
@samuelivannoya267
2 жыл бұрын
Very nice video. Thanks a lot. Greetings from Chaco Argentina. You have a new subscriber.
@solzilberman2529
Жыл бұрын
Thanks
@hamade7997
2 жыл бұрын
Yeah this is the best one out there. Sufficiently detailed, and simple enough to easily understand. Thank you!
@gikis1
2 жыл бұрын
This is great, thank you so much Kimberly! Can you please make a video on ROC/AUC? Thanks!
@vgamer8985
3 жыл бұрын
Awesome 😊👍
@theMiaow
Жыл бұрын
Precision -> it measures how well the model actually predicted true/actual positives. Thus, it results in lower false positive rates. Most useful when false positives are extremely costly such as performing credit risk assessments. You definitely wanna ensure true positives' rate are higher as lending money accidentally to high risks (when they're wrongly labeled as low risks) will be extremely costly to the banks as high risks are more likely to default their loans. Recall -> All positive instances are taken into account. Meaning, both true and false positives are considered, resulting in lower false negatives and higher false positive rates (as they are taken into account as well). Most useful when it's better to have more false positives so as to take extra precautions such as in predicting cancer patients. It's better to have false positives and prompt doctors to possibly perform rediagnosis again than accidentally telling them that they have no cancer.
@agila.p9807
2 жыл бұрын
You have an amazing talent in simplifying complex topics, great teacher!
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