Understood the concept within 2 mins, something my professor was not able to achieve in a three hour lecture, and this video is free to watch. Thank you for the informative and extremely helpful video!
This is the magic of TH-cam. Shorter videos are often more information-dense and have "less noise" -> Less text = less things that you will mistakenly focus on instead of the true Banger concept. Teachers spend 30s explaining what we will learn. Everybody misses this part and are confused for th rest of the course. Here, we have a full 2-5min explanation of what we are talking about, then we delve in the subject.
This is me watching this 5 years after graduating from higher institution and I am understanding it completely for the first time....school was truly annoying, they made even the simplest things feel so complicated and hard to understand
I realize you should know: half of the time I like your videos, it's not because of the teaching. It's just me loving your songs and how you whisper excitedly "StatQuest!" at the beginning. It's the best!
If my software venture succeeds, then I hugely owe it to you. Your pedagogical approach in the topic will benefit many individuals/teams like me. Thank you, sir!
I'm now double certified in data science, and singly so in digital forensics. I began with stat quest, and I keep using it for refreshers if I have a meeting or interview. Here I am, prepping for possible interview questions that come up a lot.
@@taheralipatrawala7300 no, i was in a coding boot camp but they kept dropping the ball so i was stuck waiting for long periods of time while they fixed mistakes and put the curriculum on hold so i enrolled in another course and they both ended up finishing around the same time. Then i enrolled in something else after, all the while i have a growing project portfolio full of cool projects people like discussing, which is pretty big if you are good at the interview stage. Tech is an interesting field in this respect: experience and education are both good, but both is great.
Had to sign up as a member of StatQuest and support your initiative. Thank you so much for making all this content available. Greetings from Brazil, Josh!
Came across Statquest after almost giving up on learning ML. Things are starting to make sense and are fun now! Amazing channel with amazing explanations!
1:30 To test how each machine learning model performs with our test data, we can use a confusion matrix. Let’s say we have two outcomes from our classification model, either true or false, then the rows can be the predicted values for our model (true and false) and the columns can be the actual truth results of our data (true and false) Data points can be classified by our model as true positive (both predicted and actual are true) or false positive (predicted is true but actual is false) or false negative (predicted is false but output is true) or true negative (predicted is false and actual is false) 4:30 using confusion matrix to compare random forest and logistic regression. 5:15 confusion matrix for multiple class classification, the diagonal represents number of true positives
Thank! I speak spanish and I'm learning english. Your videos are amazing and I'll tried to make videos of statistics in spanish. You are an inspiration to me thanks soo much
"In this case the machine learning algorithm didn't do very well, but can you blame it?, These are all Terrible movies!!... BAM" I laughed like hell. Love StatQuest.
Wow very straight forward and clear to understand! I really appreciate the table of contents and bookmarks you've laid out as well. Even for just a short video! There is so much, even too much, information out there on various topics. And too many people just give a talk, pouring out their expertise without considering how fast they're going, where their audience is coming from. I felt that wasn't as much the case here. Great job!
I rewatched the bootcamp recording which explained confusion matrix for 20 minutes and was still left confused until statquest came in an explained the concept in less than 7 minutes. BAM !!!
I just want to say thank you so much man, i've been sucking ass in my machine learning class, and you've helped me out so much, I love how you explain things.
Woah, this whole confusion matrix finally made sense in my head, only took 6mins! I watch at 1.25x speed ;) gotta learn fast! Thanks a lot Josh, subscribed!
Sir, I am from India , I was enrolled in a Data Science programme which costed me 45k the python and SQL courses were nice but then also I had to put a lot of effort mastering it , but the ML classes was not at all good, currently my class is going on ML when I am writing this comment but I am not attending it and rather watching your video , I don't want to waste my time there just to satisfy myself that I have paid a huge amount of money rather I want to utilise my time into the video where I can really understand something. Lastly I want to thank you for providing such awesome content , currently I am not working so I have some limitation for spending money, but when I will get a job in data Science and ML I will surely contribute to this channel ."Thank You Again ....." Love from INDIA . " Jai Shree RAM "
The matrix returned by the sklearn's confusion_matrix is in opposite order. Just wanted to point it if someone is thinking, got me confused for a little while. Great explanation Josh!
My terrible joke apart, your explanations are wonderful. I can't thank you enough! Done once, forever and for everyone. Who knows, your name might survive the corroding waves of history. A little something often takes unexpected proportions, even long after the author is gone.
@@statquest I should be thanking you for saving me on my exam-day! 😄 Thanks! Btw you still liking and replying to comments on an old video is a sign of a truly grateful and humble TH-camr!❤️
Man Im going through grueling hours of datamining in my masters. I keep thinking am I just not interested? or does it have to be this hard and boring?. And in comes Josh Starmer and clears the topic in mere minutes. Bought your book by the way. Hope you go into the math in there, Looking at math formulas is like reading hebraic to me
It would be interesting to identify the false positives and negatives that the random Forest and k-means algorithms that were the same, if any. If there were many, then that would indicate that the metrics used were in the analysis needed tweaking.
Unfortunately there is no one way that confusion matrices are drawn. Sometimes the predicted values are rows, sometimes they are columns. So it is a good idea to always check the labels on a confusion matrix. This video illustrates the confusion matrix concept as described in the Introduction to Statistical Learning, page 145, which is one of the most popular and famous books about machine learning.
Note! In skelearn, confusion_matrix is the other way round. Actuals are on the left and predicted on top. Just in case your model preforms amazing.. for some reason :))
I'm so so glad that Howard the Duck was not in the Confusion Matrix as you declared the other movies in the matrix terrible. Because Howard the Duck is the greatest movie ever made. Ever. After Trollhunters...
Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
Understood the concept within 2 mins, something my professor was not able to achieve in a three hour lecture, and this video is free to watch. Thank you for the informative and extremely helpful video!
Awesome! :)
Lol
This is the magic of TH-cam. Shorter videos are often more information-dense and have "less noise" -> Less text = less things that you will mistakenly focus on instead of the true Banger concept.
Teachers spend 30s explaining what we will learn. Everybody misses this part and are confused for th rest of the course. Here, we have a full 2-5min explanation of what we are talking about, then we delve in the subject.
MERICA BABY!!!
This is me watching this 5 years after graduating from higher institution and I am understanding it completely for the first time....school was truly annoying, they made even the simplest things feel so complicated and hard to understand
I realize you should know: half of the time I like your videos, it's not because of the teaching. It's just me loving your songs and how you whisper excitedly "StatQuest!" at the beginning. It's the best!
bam!!! :)
If my software venture succeeds, then I hugely owe it to you. Your pedagogical approach in the topic will benefit many individuals/teams like me. Thank you, sir!
Wow, thank you!
Statquest is simply a lifesaver!
The Intro song gives a great relief for us to get rid of confusion...
:)
I'm now double certified in data science, and singly so in digital forensics. I began with stat quest, and I keep using it for refreshers if I have a meeting or interview.
Here I am, prepping for possible interview questions that come up a lot.
Good luck with your interview! :)
By double certified you mean dual degree?
@@taheralipatrawala7300 no, i was in a coding boot camp but they kept dropping the ball so i was stuck waiting for long periods of time while they fixed mistakes and put the curriculum on hold so i enrolled in another course and they both ended up finishing around the same time.
Then i enrolled in something else after, all the while i have a growing project portfolio full of cool projects people like discussing, which is pretty big if you are good at the interview stage.
Tech is an interesting field in this respect:
experience and education are both good, but both is great.
What are sort of questions come up a lot during interviews for a data science role?
Had to sign up as a member of StatQuest and support your initiative. Thank you so much for making all this content available. Greetings from Brazil, Josh!
Muito obrigado!!! Thank you very much for your support. It means a lot to me.
Came across Statquest after almost giving up on learning ML. Things are starting to make sense and are fun now! Amazing channel with amazing explanations!
Great to hear!
This is the best video on confusion matrix I have watched. Once again, analogies and storytelling to the rescue
Thanks!
You made me start loving maching learning and statistics, thank you!
Hooray! :)
1:30 To test how each machine learning model performs with our test data, we can use a confusion matrix.
Let’s say we have two outcomes from our classification model, either true or false, then the rows can be the predicted values for our model (true and false) and the columns can be the actual truth results of our data (true and false)
Data points can be classified by our model as true positive (both predicted and actual are true) or false positive (predicted is true but actual is false) or false negative (predicted is false but output is true) or true negative (predicted is false and actual is false)
4:30 using confusion matrix to compare random forest and logistic regression.
5:15 confusion matrix for multiple class classification, the diagonal represents number of true positives
Thank you so much! You explained in 8 minutes what my Data Science Professor took forever to explain. It was so clear and concise.
Glad it was helpful!
the Confusion matrix is not so confusing anymore
Nice! :)
I see what you did there
@@thud93factory51 Everyone can see what he did there.
😂😂😂😂
I keep coming back for the BAAAMMMM !!!
Hooray! :)
I needed to understand confusion matrix as soon as possible. I learned in less than 10 minutes... great!
Bam! :)
I was miserable but you boosted my mood, the intro is on point, BAM!
bam! :)
Very nice, I'm dealing with the Kuzushiji-49 dataset, and so I have a 49x49 confusion matrix. Helped clear things out a lot!
bam!
I really liked how you mixed the sentiments in the bams, depending on the results! Great videos!
Thank you! :)
Thank! I speak spanish and I'm learning english. Your videos are amazing and I'll tried to make videos of statistics in spanish. You are an inspiration to me thanks soo much
bam! :)
Statquest is here to explain things very well, leaving me worry-free. Thank you, Mosh, for being here.
bam!
False Positive - Type 1 Error - Reject a true null-hypothesis.
False Negative - Type 2 Error - Fail to reject a false null-hypothesis.
Confusion Matrix is really confusing but you clearly explained it! Great job, Josh!! Thank you.
Glad it was helpful!
"In this case the machine learning algorithm didn't do very well, but can you blame it?, These are all Terrible movies!!... BAM" I laughed like hell. Love StatQuest.
Thank you! :)
BAM!
HAHAHAH same!!! BAM!!!
A Harvard course introduced the confusion matrix to me and it was thoroughly confusing. You explained it within the first 2 minutes of this video.
Awesome! :)
Wow very straight forward and clear to understand! I really appreciate the table of contents and bookmarks you've laid out as well. Even for just a short video!
There is so much, even too much, information out there on various topics. And too many people just give a talk, pouring out their expertise without considering how fast they're going, where their audience is coming from.
I felt that wasn't as much the case here. Great job!
Thank you! :)
Mind Blowing Explanation !! Even a primary school kid could understand these concepts. Take a bow, Josh !!!
Thanks!
I rewatched the bootcamp recording which explained confusion matrix for 20 minutes and was still left confused until statquest came in an explained the concept in less than 7 minutes. BAM !!!
BAM!!! :)
5 years old videos and still super useful and one of the best playlist. thank u for the videos
Thanks!
Thank you for explaining the Confusion Matrix! This is super helpful. I keep coming back for more of your videos! THANK YOU.
Glad it was helpful!
I come back for the BAM.
Very clearly explained, thank you! As good as always!
Hooray! :)
WOW .... Beautiful Explanation in a simple and Understandable way with diagrams... Thanks a lot. Helped me a lot to understand in a crystal clear way.
bam! :)
I just want to say thank you so much man, i've been sucking ass in my machine learning class, and you've helped me out so much, I love how you explain things.
Thank you! Good luck with your class.
Suffering on my CS DEGREE. You are a saviour thanks! totally made this topic clear for me
I'm glad my videos are helpful.
your videos are so enjoyable, makes it a joy to learn the stuff...esp the BAM :)
Glad you like them!
Woah, this whole confusion matrix finally made sense in my head, only took 6mins! I watch at 1.25x speed ;) gotta learn fast! Thanks a lot Josh, subscribed!
Hooray! I'm glad the video was helpful. :)
I was drawn from the get go. The concepts were clearly explained and it was a good watch.
Bam! :)
you made me so clear with Confusion Matrix. Great job, BAM .
Glad it was helpful!
I have no idea how such a beautiful content have so low views and subscribers. Josh, you da best my man ❤
Thanks!
¡Gracias!
De nada!!! Thank you for supporting StatQuest!!! TRIPLE BAM! :)
Unconfused way of explaining the Confusion Matrix. Thanks !!!
Bam! :)
Guy just simplified "THEEE CONNFFUSION MAATTRIXX" (reverberating sound)
Thanks Josh :)
bam! :)
Sir, I am from India , I was enrolled in a Data Science programme which costed me 45k the python and SQL courses were nice but then also I had to put a lot of effort mastering it , but the ML classes was not at all good, currently my class is going on ML when I am writing this comment but I am not attending it and rather watching your video , I don't want to waste my time there just to satisfy myself that I have paid a huge amount of money rather I want to utilise my time into the video where I can really understand something.
Lastly I want to thank you for providing such awesome content , currently I am not working so I have some limitation for spending money, but when I will get a job in data Science and ML I will surely contribute to this channel ."Thank You Again ....."
Love from INDIA . " Jai Shree RAM "
Thank you and good luck with your course! BAM! :)
#confusion#matrix#machinelearning#deep#precision#recall F1 #score#accuracy#true#positive #negative!
th-cam.com/video/YlFgsaxagX0/w-d-xo.html
I didn't sweat it at all! I just moved to youtube and searched: Statquest confusion matrix 😀😀😀
TRIPLE BAM! :)
Awesome and Easy Explanation !!!
Thank you!
The matrix returned by the sklearn's confusion_matrix is in opposite order. Just wanted to point it if someone is thinking, got me confused for a little while.
Great explanation Josh!
Yep, I originally based this on a confusion matrix that I got from R. Different APIs give different orientations.
hey this is my first time watching your video, and thank you for your explanations about confusion matrix i like it.
i'm still student
Glad it was helpful!
My terrible joke apart, your explanations are wonderful. I can't thank you enough!
Done once, forever and for everyone. Who knows, your name might survive the corroding waves of history. A little something often takes unexpected proportions, even long after the author is gone.
Thanks! :)
Me: learning ML and trying decision trees. YOU: explaining exactly what I'm doing step by step in 1 video.
bam! :)
this series of videos are just amazing, thank u so much
Thank you!
Thanks for helping me to get out of this problem,as today is my Artificial intelligence exam,love from India.
Good luck! :)
Your content is so beautiful, it makes me want to cry
Thank you!
revise the concepts ! hooray ! tiny bam , big bam!! love you joshu
:)
Its very clear and easy to understand. God bless you sir
Thank you!
you are a great teacher no can match your standard at least on youtube
Thank you very much! :)
Gotta smash that like and subscribe button, this channel is golden.
Thank you!
Best channel, duly explained
Thanks!
OMG!!! You explain each and everything very explicitly.. Thanks buddy. I Subscribed...
Hooray! Thank you! :)
BAM!!! Thank you! Original and clear explanation!
Hooray! You're welcome. :)
This video saved my life. Thank you so much
Bam! :)
awesome explanation. loved the BAM!!
Glad you liked it!
I love StatQuest, StatQuest I love.
BAM! :)
Thank you! This clarified a new concept for me once again!
bam! :)
Superv Explanation, Understand it very well. Thanks a lot StatQuest
Glad it was helpful!
I'm here for the BAM! ... and awesome learning experience.
BAM! :)
감사합니다!! thank you... this video is really helpful for my categorical data analysis class.. from south Korea,,,,,,,,,,,,,,,,,
Thank you! If you like this video, check out the korean translation of my book: www.yes24.com/Product/Goods/117173369
I laughed at that < bam. > I am a big fan of your BAM videos! lool
Very clean and clear cut explanation👍🏻
Thank you!
What an amazing video with the perfect explaination
Thank you! :)
@@statquest I should be thanking you for saving me on my exam-day! 😄 Thanks! Btw you still liking and replying to comments on an old video is a sign of a truly grateful and humble TH-camr!❤️
@@pranavpatil.7 Good luck with your exam! I hope it goes well. :)
This helped so much right when I needed to know this!!
Bam!
Bam... I found your video and it made my day....
Hooray! :)
You are the best by far!
Thank you!
Thank you so much for your explanation! Very very informative and easy to understand!
Glad you enjoyed it!
Man Im going through grueling hours of datamining in my masters. I keep thinking am I just not interested? or does it have to be this hard and boring?. And in comes Josh Starmer and clears the topic in mere minutes. Bought your book by the way. Hope you go into the math in there, Looking at math formulas is like reading hebraic to me
Thank you! And thank you for supporting StatQuest! BAM! :)
#confusion#matrix#machinelearning#deep#precision#recall F1 #score#accuracy#true#positive #negative!
th-cam.com/video/YlFgsaxagX0/w-d-xo.html
Why didn't I stumble upon your videos earlier. Quality content.
Thank you!
I hope your knowlege and wisdom can help me ace my sem finals and get my degree
Good luck!
Thank you for making confusion matrix not confusing at all. :)
Thanks! :)
BAM! that cleared the confusion. Double BAM!
YES! :)
Bam!!! I fully understand now. Thank you!
Bam! :)
Yet another Amazing Video ….. 👍🏻👍🏻👍🏻
Thank you so much 😀
It would be interesting to identify the false positives and negatives that the random Forest and k-means algorithms that were the same, if any. If there were many, then that would indicate that the metrics used were in the analysis needed tweaking.
Good insight! :)
Very good explanation. Thanks.
Thank you!
This video helped me a lot. Thank you so much.
Thanks!
your explanation is fabulous!!!!
Thank you! :)
There is a mistake at 1:43 in the video. The columns generally represent the predicted values and rows represent the actual values.
Unfortunately there is no one way that confusion matrices are drawn. Sometimes the predicted values are rows, sometimes they are columns. So it is a good idea to always check the labels on a confusion matrix. This video illustrates the confusion matrix concept as described in the Introduction to Statistical Learning, page 145, which is one of the most popular and famous books about machine learning.
@@statquest Oh Okay, thanks for clarifying👍😇.
Note! In skelearn, confusion_matrix is the other way round. Actuals are on the left and predicted on top. Just in case your model preforms amazing.. for some reason :))
True!
StatQuest is my hero 🎹
Thanks!
Great 👍🏻🎉 Thanks for your support and Video
Thanks!
thank u so much.i am so messed up with this topic.un explained me very easily
Happy to help
@@statquest :))))
Feeling satisfied! Thank you!
BAM! :)
Thank you for this informative and well explained video.
Thanks!
Such a wonderful explain
Thank you! :)
the best on internet
Thank you!
Thank you so much. This was incredibly helpful.
Bam!
thanks! this was very informative and fun and easy as well
Glad it was helpful!
need an extended version of the intro song , i loved it ! :D
Ha! Thanks! :)
Best Intro EVER
Thanks! :)
thanks for the clear explanation
Thanks!
Thanks so much for making these videos! They are great! I love the silly songs too.
Glad you like them!
I'm so so glad that Howard the Duck was not in the Confusion Matrix as you declared the other movies in the matrix terrible. Because Howard the Duck is the greatest movie ever made. Ever. After Trollhunters...
Ha! Howard the Duck is a.... unique movie. ;)
Really very good explanation , Thank you :)
Glad it was helpful!