Correction: 12:00 The confusion matrix should be TP = 3, FP = 2, FN = 1, TN = 2. The displayed matrix should be for the next point. Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
I am a data scientist and I have never really understood ROC/AUC curve fully before, but this video is so well that I immediately get it. Thank you OG!!!!
I am binge-watching statquest. Josh Starmer has lifted the bar of teaching too high. He is singing, he is playing guitar, and explaining technical concepts in a way that anyone can understand. What a unique combination!!!
Studying ML and classification right now and this helped connect so many dots in a way that was easy and repeatable! Thank you so much for the time you take to make these videos.
This is a random comment from Japan. Thank you for your amazing contents !! Studying data science is super hard for me even in mother language,Japanese. But your contents are awesome. Your are a lifesaver for data-science-leaners all around the world!
Hey Josh, I'm learning Data Science in a Bootcamp and it's a headache. But every time they send me to your channel, I know I'm gonna understand. I really appreciate your labor and the high quality of your content. Keep it up!
My God! If this is not THE BEST video about ML algorithms, then I don’t know which is! Thank you so much! Maximum share among classmates! Hope you dude always be happy!
I was drinking my morning coffee, took a sip and this is the first video of yours that I just clicked on, and that intro! bruv! took me back to days in undergrad struggling. Legit spew coffee on myself. Such a well explained video. My respects.
I have had a very unclear understanding of this for about 3 years now. This video just solved my problem in approx. 15 mins. Great job! Thanks a lot for this!
My mind says ..."TRIPLE BAMMMMM !!!" and "HURRAAYY" after grasping this complicated concept. You are a GEM Josh. Thanks for explaining it so slow and so perfectly like water going inside my throat.
It is my lifesaver to watch this video by studying natural language processing! I can't stress enough to appreciate this compared with other content creators on the Internet!
I clicked on this video as it appeared on my feed thinking it was an old one (also, I needed to revise my ROC concepts). Little did I know that it was uploaded literally minutes ago. *When youtube recommendation engines read your mind, TRIPPLE BAAMMM*
Congrats on these series of videos!! Im currently doing a compressed introduction course on ML methods in my university, and watching these videos in paralel really helps my understanding of the given concepts!! Really good summarize!!
Josh, you have taken teaching to the next level. Keep explaining and simplifying the complications., it is really really very helpful. Thank you for your contribution in spreading the useful knowledge.
Hello Josh, I am from India. I just started watching your machine learning videos, want to say you are amazing. Thank you for your simple way of explanation.
Dear Josh Starmer, Thank you for your insightful lecture on ROC and AUC. Your explanations were clear, and I gained a better understanding of these concepts. Your dedication to simplifying complex topics is commendable.
This is the best explantion i have ever found online for roc. funny how many people complicate simple concepts by throwing in lots of jargons. the examples walkthrough made it super simple and intuitive to understand this. Triple BAM Indeed!
Josh you nail stats in every video, great. This confusion matrix evaluation will be completed if you add one video on precision, recall, f1 score and precison recall curve Thanks and waiting for it.
Honestly, I've never used this tool before and using Rstudio was very difficult for me, however you explained so calmly that I was able to understand everything. thank you very much
Thank you so much! I didn’t quite understand what the points and the curve meant, and then... BAM! Insight/understanding came down from the heavens! You seriously have ROCed the world of a young medical student May your channel get more and more viewers and you get more and more love
Yo no hablo inglés al 100%, pero tus videos los entiendo completamente, eres un genio de la Estadística y Machine Learning, pero eres un Dios de la enseñanza. Gracias!!!!
Correction:
12:00 The confusion matrix should be TP = 3, FP = 2, FN = 1, TN = 2. The displayed matrix should be for the next point.
Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
Professor please make videos on Gaussian mixture models, quantum Gaussian mixture models and deep learning related models like cnn, rnn, lstm etc.
@@GauravSharma-ui4yd I would very much like that too! Your videos have really helped me in my machine learning and stat courses! Thank you :)
Josh, you are a life safer! I can't express how much I appreciate your content and overall approach.
Lolol😭😍😭😭😭😁
replace ebola with corona
There’s a special place in heaven for those who make complicated things seem easy.
Thanks for the explanation
Thank you so much! :)
@@statquest You are simply awesome!
@@shilpishankermishra Thanks! :)
Awsome squared
@skandar This is the best response so far! Triple BAM!!!
I am a data scientist and I have never really understood ROC/AUC curve fully before, but this video is so well that I immediately get it. Thank you OG!!!!
BAM! :)
Hey Albert, do you professionally work as a Data Scientist??
@@rajshah7734 yes
@@albertyao6181 hi,
I am binge-watching statquest. Josh Starmer has lifted the bar of teaching too high. He is singing, he is playing guitar, and explaining technical concepts in a way that anyone can understand. What a unique combination!!!
Thank you very much! And thank you for your support!
bro you just did what my lecturer couldnt do the entire semester, in 15 minutes. props.
Thanks! :)
May be he could not understand well
So your professor was teaching ROC for the entire semester
@@op711 yeah “bro”
@@op711 lol ;)
The funny "BAM" points exactly match the moments I feel something learned.
Thanks for the great visualization!
Awesome!!! :)
Now I finally know what to think whenever he says "BAM" XD
@@samarthsoni4267 It's kind of like catch phrases of kid shows. I love it.
double bam!!!!!!!!!
If I ever pass my PhD comprehensive exam, it will be because God guided me to find your videos :D Thank you man!
I hope it goes well! Let me know! :)
Lolol same here! I have my exam on Wednesday!
I cried about this for hours and watched this video and understood everything. You are amazing
Thank you!
This guy is no joke the best at taking concepts and making them easy to understand. Props to you and thank you for doing what you do!
Thank you very much! :)
This man deserves a nobel prize
Thanks!
Studying ML and classification right now and this helped connect so many dots in a way that was easy and repeatable! Thank you so much for the time you take to make these videos.
Thank you very much! :)
This is a random comment from Japan.
Thank you for your amazing contents !!
Studying data science is super hard for me even in mother language,Japanese.
But your contents are awesome.
Your are a lifesaver for data-science-leaners all around the world!
Hooray! Thank you very much! :)
I’m a guy from ROC (Taiwan) watching this ROC tutorial and understanding ROC. Thank you!
Rock on!
Hey Josh, I'm learning Data Science in a Bootcamp and it's a headache. But every time they send me to your channel, I know I'm gonna understand. I really appreciate your labor and the high quality of your content. Keep it up!
Thank you and good luck with your bootcamp!
With this video my search for ROC-AUC stopped. Thanks a lot for awesome explantion
BAM! :)
Million BAM's , I can't thank you enough for being the teacher I never had!!!
Thanks!
every time i watch his videos i felt very relaxed and feel like there is something heavenly , divine in the world
:)
My God! If this is not THE BEST video about ML algorithms, then I don’t know which is! Thank you so much! Maximum share among classmates! Hope you dude always be happy!
Thank you for sharing! :)
Content = ok; Presentation = ok; Explanation = ok; Pronunciation = of => Perfect Video! Again, Salute from Brazil!
Thanks!
Spent an hour trying to understand ROC and AUC using other online resources, glad that i finally found this tutorial! You are the best, thanks so much
Thanks!
I think this is the first time I trully understand the ROC and AUC. Really, thanks!
Hooray!!!
I have never felt so lucky to find a RUclips channel before. Double BAM!
Hooray! :)
The world needs people like you! I love your extremely simple and clear explanations, style and of course your voice
Thank you! 😃
That's blowing my mind!!! I'm 31 years old and I finally get it!!! Many thanks to author!!!
Thank you!!! :)
If there is someone with the gift of teaching, it's you! Kudos!
Thank you!
dude you ROC!!
I love it! :)
Best comment
😂
Double Bam!
@@Phantom_Blox Dude you rock! Ay, you see what I did there? 😆
Great Josh, I really like the step-by-step explanation of so called "complicated" things
Thank you very much! :)
Man your channel is a hidden gem. Thank you for the time and effort you put into statquests!
Thank you!
I was drinking my morning coffee, took a sip and this is the first video of yours that I just clicked on, and that intro! bruv! took me back to days in undergrad struggling. Legit spew coffee on myself. Such a well explained video. My respects.
That's awesome! BAM! :)
I've never understood the ROC and AUC curves until now...BAM!!! I was so impressed that I just joined the StatQuest membership, thanks Josh Starmer!
BAM! Thank you very much for your support!!! :)
Thank you! It is incredible how well you are able to explain complicate concepts so simply. This is by far one of the best channels in youtube.
Wow, thanks!
I've read so many Medium articles about ROC and AUC, but none describe it as good as your video!
Thanks!
13:48 "BAM?" I laughed a lot! 😂😂😂 You're one of the best teachers on YT, Josh! Thanks a lot!
Thank you!
I have had a very unclear understanding of this for about 3 years now. This video just solved my problem in approx. 15 mins. Great job!
Thanks a lot for this!
Thank you!
Some teachers make simple things complicated... you, however, make complicated things seem simple. Thanks so much!
Thank you! :)
This absolutely saved me as I finished a final project! Thank you so much for making these clear & helpful videos
Hooray and congratulations on finishing your final project!! BAM! :)
My mind says ..."TRIPLE BAMMMMM !!!" and "HURRAAYY" after grasping this complicated concept. You are a GEM Josh. Thanks for explaining it so slow and so perfectly like water going inside my throat.
Thank you so much!!!! I'm glad the video was helpful. :)
You are the lecturer no one has but everyone needs.
:)
It is my lifesaver to watch this video by studying natural language processing! I can't stress enough to appreciate this compared with other content creators on the Internet!
Glad it was helpful!
Coming back to these after all these years and im still in awe, you're a legend dude !!
Thank you!
I wouldn't be able to express how easy it was to understand through the explanation. I wish I could like the same video 1 million times.
Thank you very much. :)
And after this video I got all the answers after wandering one resource to another.
Thanks a lot for such amazing videos...🙏
Thanks!
after watching this video i felt there is someone in the world who can save me, thanks to Joshua
:)
I have so much love for this explanation!! University studies are dead in front of this!! Thanks, from India!!
Thanks! :)
Such a lucid explanation of such a bootstrapped concept, which I had a feeling of having understood , but never clearly. Thanks
You are welcome!
you are simply out of the universe , thanks for making my and other learner life easy.
Thanks! :)
I clicked on this video as it appeared on my feed thinking it was an old one (also, I needed to revise my ROC concepts). Little did I know that it was uploaded literally minutes ago. *When youtube recommendation engines read your mind, TRIPPLE BAAMMM*
That's totally awesome! :)
Congrats on these series of videos!! Im currently doing a compressed introduction course on ML methods in my university, and watching these videos in paralel really helps my understanding of the given concepts!! Really good summarize!!
Awesome! I'm glad to hear the videos help. :)
@@statquest They do! Very much so! :) Thank you for making them :)
Josh, you have taken teaching to the next level. Keep explaining and simplifying the complications., it is really really very helpful. Thank you for your contribution in spreading the useful knowledge.
Thank you! :)
@@statquest I always found "confusion matrix" very confusing.... but you solved the confusion 🙂
@@aishah8398 BAM!
Hello Josh, I am from India. I just started watching your machine learning videos, want to say you are amazing. Thank you for your simple way of explanation.
Thank you very much! :)
OMG, I was trying so hard to understand this and finally I found this. U totally ROC!!!!
Awesome! Thank you! :)
I love this channel! It is fun and make dense subject way easier. Thank you for sharing high quality material with us!
Thank you very much! :)
7:05 "a confusingly large number of confusion matrices." Classic! :)
Thanks! :)
Dear Josh Starmer,
Thank you for your insightful lecture on ROC and AUC. Your explanations were clear, and I gained a better understanding of these concepts. Your dedication to simplifying complex topics is commendable.
Thank you!
I am a Chinese student who is studying R language , your video give me a great help! thank you!
Hooray! I'm glad my video is helpful. :)
Thank you, sir. You are a gentleman and a scholar.
Thanks! :)
ohh god at last i understood this concept through ur vdo .thanx BAM!!!!!!!!
Thanks! :)
Thank you so much for all the BAMs and the easy explanation ! Love it :)
Glad you like them!
This is the best explantion i have ever found online for roc. funny how many people complicate simple concepts by throwing in lots of jargons. the examples walkthrough made it super simple and intuitive to understand this. Triple BAM Indeed!
BAM!
What your explanations just did to my brain is a work of art. Thank you very much for breaking down ROC/AUC that good
Thank you!
Josh you nail stats in every video, great.
This confusion matrix evaluation will be completed if you add one video on precision, recall, f1 score and precison recall curve
Thanks and waiting for it.
BAM!!! truely an amazing video
Many thanks........
Thank you! :)
14:25 DOUBLE BAAAAM!!! XD Because of those jokes I'll never forget what I've learned in this video. Great way to use humor, dude
Thank you! :)
TRIPLE BAM!!!
I am so happy that this best video got 801k likes, whenever I need to review the content, this one float up to the top as always.
Thank you!
@@statquest YW
I admire your videos. So clear reasonable explanation on the complicated topics. Worth thousands of written papers!
Thanks!
Me *understand ROC and AUC because of watching this video*: TRIPLE BAM!!!
BAM! :)
This is just incredible
Arghhhhhh. Thank You for this. I was losing my mind already.
BAM! :)
The goat of ML explanations online. If only all teachers were half as passionate/explained half as well. Thanks for your amazing work.
Wow, thank you!
I'm studying for my machine learning finals and your video's (not only this one) help me allot. Thanks for taking the time to make these!
Good luck with your finals! :)
immediate like for the intro !
Hooray! :)
This was so helpful, could you also make a video about transformation functions like Box Cox and arcsine? Would greatly help. :)
I felt that double BAM in my soul
Awesome!! :)
Honestly, I've never used this tool before and using Rstudio was very difficult for me, however you explained so calmly that I was able to understand everything. thank you very much
Glad it helped!
It is the first time i am learing this and your teaching is just amazing!!Thank you.
I'm glad you found it helpful!
“Little bam” and “Bam?” 😂
:)
hahahahahaha I got so amused with the bam! and double bam! xD
:)
The theme song today: "wait till u see, ROC" so cool.
Thanks! :)
incredible, wonderful, extraordinary. God created you to be an educator !!!
Wow, thank you!
I love this channel so much. Every time I start a video, the musical introduction cracks me up
BAM! :)
Gazillion bam
Hooray! :)
dude, you keep things so intuitive, you have a gift, please keep teaching us
Thanks, will do!
Thank you Josh this is so helpful! As a senior data scientist, this is the perfect quick video for me to review the concept!
Glad it was helpful!
I have been trying to understand this for soo long. Can't describe in words how amazingly simple you have made this. Thank you so much
Hooray! :)
Right after I watched this lecture, it was the second question on my test!!
Thank you very much for your clear explanation!!
bam!
well, I checked 100 of videos on youtube but no one ever explained like in this video which is very useful for people studying machine learning.
Thank you! :)
I've learned both Statistic and English from this Channel. Double BAMMM!! Thank you all the time for your Awesome video :D
YES! That is a Double BAM! :)
Thank you so much! I didn’t quite understand what the points and the curve meant, and then... BAM! Insight/understanding came down from the heavens!
You seriously have ROCed the world of a young medical student
May your channel get more and more viewers and you get more and more love
Thank you very much! :)
Thank you for explaining this at 11.20pm before my supervision at 9am tomorrow morning! Needed it!
Good luck! :)
i know its been 4 years but damm the way u explain it is sooooo freaking good
Thanks!
bro you deserve the happiness of the whole world for providing such helpful videos for us
Thank you!
Thanks so much for the great explanation!
WOW! Thank you so much for supporting StatQuest!!! BAM! :)
you are the only reason I understand anything in machine learning
bam!
For a man over 50 like me who never got pass grade on any Maths Exams, your tutorial really rocking, thank you very much Sir.
Happy to help!
Yow I'm just stunned how well you explained these things. Every minute is a euphoria for me. It all makes sense now AAAAAAAAA
Thank you!
Loved it! Despite being a new learner in ML, I understood the concept really fast. Thank you a lot!
Glad it was helpful!
man u just saved my life i cannot tell how grateful i am, just wish u happiness cuz u a damn good man
Thank you!
Yo no hablo inglés al 100%, pero tus videos los entiendo completamente, eres un genio de la Estadística y Machine Learning, pero eres un Dios de la enseñanza. Gracias!!!!
Muchas Gracias!
best explanation of the ROC and AUC so far. Thank you for explaining so clearly
Wow, thanks!
Your best video I've watched so far. Now I understand perfectly how specificity and sensitivity are obtained
bam! :)