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One of the fundamental concepts in machine learning is the Confusion Matrix. Combined with Cross Validation, it's how we decide which machine learning method would be best for our dataset. Check out the video to find out how! NOTE: This video illustrates the confusion matrix concept as described in the Introduction to Statistical Learning, page 145. Also, if you're not already familiar with cross validation, check out the Quest: https://youtu.be/fSytzGwwBVw For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer Lastly, a big thanks goes to Cesar Diniz for the Portuguese subtitles. 0:00 Awesome song and introduction 0:24 Motivation for confusion matrices 1:38 Definition of confusion matrix and related terminology 2:44 Confusion matrix example 3:41 Comparing confusion matrices 4:47 A 3x3 confusion matrix. 6:20 Large confusion matrices 6:38 Summary of concepts and main ideas #statquest #confusionmatrix #ML

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