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AdaBoost, Clearly Explained

AdaBoost is one of those machine learning methods that seems so much more confusing than it really is. It's really just a simple twist on decision trees and random forests. NOTE: This video assumes you already know about Decision Trees...    • Decision and Classification Trees, Cl...   ...and Random Forests....    • StatQuest: Random Forests Part 1 - Bu...   For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ Sources: The original AdaBoost paper by Robert E. Schapire and Yoav Freund https://www.sciencedirect.com/science... And a follow up by co-created Schapire: http://rob.schapire.net/papers/explai... The idea of using the weights to resample the original dataset comes from Boosting Foundations and Algorithms, by Robert E. Schapire and Yoav Freund https://mitpress.mit.edu/books/boosting Lastly, Chris McCormick's tutorial was super helpful: http://mccormickml.com/2013/12/13/ada... If you'd like to support StatQuest, please consider... Buying The StatQuest Illustrated Guide to Machine Learning!!! PDF - https://statquest.gumroad.com/l/wvtmc Paperback - https://www.amazon.com/dp/B09ZCKR4H6 Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC Patreon:   / statquest   ...or... YouTube Membership:    / @statquest   ...a cool StatQuest t-shirt or sweatshirt: https://shop.spreadshirt.com/statques... ...buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...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:   / joshuastarmer   0:00 Awesome song and introduction 0:56 The three main ideas behind AdaBoost 3:30 Review of the three main ideas 3:58 Building a stump with the GINI index 6:27 Determining the Amount of Say for a stump 10:45 Updating sample weights 14:47 Normalizing the sample weights 15:32 Using the normalized weights to make the second stump 19:06 Using stumps to make classifications 19:51 Review of the three main ideas behind AdaBoost Correction: 10:18. The Amount of Say for Chest Pain = (1/2)*log((1-(3/8))/(3/8)) = 1/2*log(5/8/3/8) = 1/2*log(5/3) = 0.25, not 0.42. #statquest #adaboost