StatQuest

Currently Playing: Machine Learning Fundamentals: Sensitivity and Specificity (old version)

NOTE: This video has been updated. Please watch the new version: https://youtu.be/vP06aMoz4v8 In this StatQuest we talk about Sensitivity and Specificity - to key concepts for evaluating Machine Learning methods. These make it easier to choose which method is best for your data. NOTE: At 7:11, the Sensitivity should be 12/(12+195) = 0.06 instead of 0.11. Also, at 10:49, I circled the "False Positives", but I should have circled the "True Negatives". The formula is correct, but I just circled the wrong thing. If you're not already familiar with the Confusion Matrix, check out the Quest: https://youtu.be/Kdsp6soqA7o 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 #statquest #ML