Machine Learning Fundamentals: The Confusion Matrix November 24, 2019 69 By Stanley Isaacs CategoryArticles BlogTagsConfusion Matrix Cross Validation Josh Starmer machine learning statistics StatQuest 69 Comments Stevo says: October 29, 2018 at 6:46 pm Thanks for the video, very informative! Reply gubka modding says: October 29, 2018 at 9:05 pm Sorry, what's BAM means ? Reply Juan SB says: October 29, 2018 at 10:35 pm In the video about ROC curve you should mention how it is affected by unbalanced classes! Just a suggestion Reply Urjaswita Yadav says: October 30, 2018 at 3:20 am Thanks for this! Very clearly explained indeed 🙂 Reply Jessica says: October 30, 2018 at 5:51 pm Very clearly explained, thank you! As good as always! Reply Peter Samoaa says: October 30, 2018 at 10:25 pm Suppose we have confusion matrix with 4 categories: positive negative, neutral and irrelevant how do we define true negative and true positive, false negative and false positive .. I know that the diagonal will represent the true value and other elements in matrix the wrong values but I'm asking about determining the terms of true and false positive and negative Reply miki farman says: October 30, 2018 at 10:31 pm Hey, nice job. I am wondering which software you are using to make the slides and videos. Is that PowerPoint or something else? I like the way you presenting Reply KL says: November 2, 2018 at 3:24 am hey, just wanna know how long is your todo list~ Reply Cecilia Cerasifera says: November 4, 2018 at 4:08 pm BAM!!! Thank you! Original and clear explanation! Reply Nick Larsen says: November 7, 2018 at 1:53 am Awesome job Josh Starmer! Can you maybe do a video to explain the Krippendorff’s alpha coefficient?Thanks for the video! 🙂 BAM! Reply you are me A says: November 29, 2018 at 5:38 pm You are brilliant super clear Reply Vishvapalsinh Paramar says: December 9, 2018 at 11:16 pm you should be as a character in Big bang theory haha Reply Reda says: December 13, 2018 at 8:12 pm the Confusion matrix is not so confusing anymore Reply Samudra Gupta says: January 9, 2019 at 7:45 am Great explanation!!!! Reply Aleena Watson says: January 17, 2019 at 8:12 pm Do not drink soup at 6:36 😂 Reply RAAGHAV SHARMA says: January 31, 2019 at 3:14 pm Thanks …. BAMMM !!!!! I will definitely buy one song 🙂 Reply Zafar Shadman says: February 4, 2019 at 6:49 pm The predicted ones are actual and actual ones are predicted. Please do check. Reply Ryan Ha says: February 9, 2019 at 2:07 am Can you blame em, these are all terrible movies! 😂😂 Reply Masud al imran says: February 9, 2019 at 9:55 am wtf this intro Reply scikick says: February 9, 2019 at 5:53 pm great video! tiny bam!! Reply Mehmet Mustafa ICER says: February 21, 2019 at 7:10 am Very good explanation. Thanks. Reply JSIEC Application of deep learning in ophthalmology says: March 3, 2019 at 3:48 am In most case, x axis stand for ground truth and y axis stand for predicted values. Reply ANAS MOHD NOOR says: March 25, 2019 at 6:03 am BAM!! Reply Bayesian Lee says: March 27, 2019 at 7:47 am tripple baaaaaaaaaaaaaaaaam I love it Reply Aarati Dhungel says: April 4, 2019 at 7:17 am 🙏 Reply Jess Stuart says: April 5, 2019 at 5:22 pm False Positive – Type 1 Error – Reject a true null-hypothesis.False Negative – Type 2 Error – Fail to reject a false null-hypothesis. Reply Efrain Plaza says: April 5, 2019 at 7:19 pm Excellent explanation, thanks! Reply Aisyah Saririah says: April 10, 2019 at 5:48 pm You're the best love you Reply Hamza Mohd. Zubair says: April 13, 2019 at 3:13 pm Excellent explanation. BTW, can you stop saying BAM? Reply Liz ny says: April 14, 2019 at 12:54 pm I laughed at that < bam. > I am a big fan of your BAM videos! lool Reply Deepika Babani says: April 18, 2019 at 10:13 am Can confusion matrix be calculated for muticlass classification Reply ksvrd says: April 19, 2019 at 2:59 am You tha best ! Reply HITESH KUMAR says: April 19, 2019 at 7:03 pm I am fan of your ** DOUBLE BAM ** Reply jesse sheppard says: April 28, 2019 at 1:51 am I'm confused that someone likes Trolls 2. Reply Yixu Lu says: May 6, 2019 at 1:32 am double bam! Reply shanaka jayatilake says: May 31, 2019 at 9:54 am Amazing video and an amazing channel Reply justin robin says: June 1, 2019 at 5:15 pm Bammmmmm! a good video Reply MasterofPlay7 says: June 3, 2019 at 11:17 pm the confusion matrix made me very Confucius xD Reply manish khatiwada says: June 14, 2019 at 3:18 pm wow….It was a clear explanation ……Bam Reply Anıl Karaman says: June 17, 2019 at 6:07 pm double bam!!! Reply Raghav Sukhani says: June 18, 2019 at 10:35 pm Hey bro!!! Very nice and concise explanation. You teach really good but I'm sorry to say that you sing really bad.(The song in the very beginning.) Reply George Carvalho says: June 20, 2019 at 12:57 pm niceeeee Reply Travel Along says: June 25, 2019 at 4:00 pm Actual class or true class is column title, predicted class is rows title you showing oppositely, I have checked it with MATLAB. Other than this confusion videos are great. Reply Alaap Dhall says: July 3, 2019 at 4:36 pm 0:12 .. naughty americaaaa.. Reply Peter Singh says: July 27, 2019 at 6:09 am ur explanation is BAAAAAAAAAAAAAM Reply Wong Kho says: August 7, 2019 at 5:37 pm Best statquest theme song indeed Reply Shashank Shukla says: August 17, 2019 at 6:41 pm Double Bam!!!! Hahahaha 😂😂😂😂 Reply Agent ANAKIN says: August 19, 2019 at 6:39 am 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. Reply Víctor Morales Oñate says: August 20, 2019 at 11:18 am Greatly explained as always! Thanks! Do you have a book or article reference for this (confusion matriz for more than two classes)? Reply Christian Gang Liu says: August 27, 2019 at 3:30 pm So the result is confusion matrix only good for YES/NO prediction? Reply Leonardo Monteiro says: September 10, 2019 at 9:35 am for each in range(0:10000): print(each,"bam!") Reply Sourabh Kumar says: September 10, 2019 at 10:22 pm BAM !!!!!!! man u r awesome ….. Reply Asif Iqbal says: September 11, 2019 at 5:58 pm OMG!!! You explain each and everything very explicitly.. Thanks buddy. I Subscribed… Reply pablo marcel says: September 25, 2019 at 4:07 am BAM cubed Reply Rony Roy says: September 25, 2019 at 8:16 am I keep coming back for the BAAAMMMM !!! Reply Vivek Revi says: September 26, 2019 at 5:11 am "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. Reply Harshit Shrivastava says: September 30, 2019 at 5:20 pm thankyou so much BAM!! Reply K M says: October 7, 2019 at 11:35 am 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… Reply Gonçalo Leiria says: October 15, 2019 at 1:26 pm Thank you for another great video. I have a question: What about continuous data? Reply Bonherba1 says: October 19, 2019 at 7:37 am Cool Video, but can you stop singing in the beginning? Reply Usman Khan says: October 30, 2019 at 5:03 pm These are all terrible movies, BAM! 😂😂🤣 Reply Usman Khan says: October 30, 2019 at 5:04 pm No Triple BAM in this StatQuest video Reply mazen elmesery says: October 31, 2019 at 3:10 pm you are brilliant 😀 Reply sanjay toshniwal says: November 6, 2019 at 1:37 pm BAM!!! Reply Alif Rizky says: November 7, 2019 at 3:53 pm The Confusion matrix make me confusing. Reply TheBluesFlame says: November 11, 2019 at 11:11 am 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! Reply Carlos Ferreira says: November 12, 2019 at 1:25 pm 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! Reply Rayah Martina says: November 18, 2019 at 11:42 pm It finally made sense. Reply Jeremiah Blessing says: November 21, 2019 at 4:24 pm My Confusion matrix size was (50,50) until i see your video it became (2,2). Lol Reply Leave a Reply Cancel reply Your email address will not be published. Required fields are marked *Comment Name * Email * Save my name, email, and website in this browser for the next time I comment.