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How to examine chance prediction of a machine learning model (Y-Scrambling / Y-Permutation) 3 года назад


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How to examine chance prediction of a machine learning model (Y-Scrambling / Y-Permutation)

Have you ever wondered whether your machine learning model is a chance prediction? In this video, I will show you how to prove that your machine learning model is either truly making robust predictions or whether it is chance prediction. Particularly, we will be performing Y-scrambling (aka Y-randomization, Y-permutation, etc.) whereby values in the Y column will be shuffled such that the resulting X-Y pair will be a null pair that is expected to give rise to poor model performance while the original X-Y pairs will lead to a good performance if the model is truly robust. 👉 Code: https://github.com/dataprofessor/pyth... 🌟 Subscribe to this YouTube channel https://www.youtube.com/dataprofessor... 🌟 Join the Newsletter of Data Professor http://sendfox.com/dataprofessor 🌟 Buy me a coffee https://www.buymeacoffee.com/dataprof... 🌟 Download Kite for FREE https://www.kite.com/get-kite/?utm_me... ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: https://bit.ly/dataprofessor-ds101 ✅ Data Science YouTuber Podcast: https://bit.ly/datascience-youtuber-p... ✅ Data Science Virtual Internship: https://bit.ly/dataprofessor-internship ✅ Bioinformatics: http://bit.ly/dataprofessor-bioinform... ✅ Data Science Toolbox: https://bit.ly/dataprofessor-datascie... ✅ Streamlit (Web App in Python): https://bit.ly/dataprofessor-streamlit ✅ Shiny (Web App in R): https://bit.ly/dataprofessor-shiny ✅ Google Colab Tips and Tricks: https://bit.ly/dataprofessor-google-c... ✅ Pandas Tips and Tricks: https://bit.ly/dataprofessor-pandas ✅ Python Data Science Project: https://bit.ly/dataprofessor-python-ds ✅ R Data Science Project: https://bit.ly/dataprofessor-r-ds ✅ Weka (No Code Machine Learning): http://bit.ly/dp-weka ⭕ Recommended Books: 🌟https://kit.co/dataprofessor ✅ Hands-On Machine Learning with Scikit-Learn : https://amzn.to/3hTKuTt ✅ Data Science from Scratch : https://amzn.to/3fO0JiZ ✅ Python Data Science Handbook : https://amzn.to/37Tvf8n ✅ R for Data Science : https://amzn.to/2YCPcgW ✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: https://amzn.to/33jTdcv ✅ AI Superpowers: China, Silicon Valley, and the New World Order: https://amzn.to/3nghGrd ⭕ Stock photos, graphics and videos used on this channel: ✅ https://1.envato.market/c/2346717/628... ⭕ Follow us: ✅ Medium: http://bit.ly/chanin-medium ✅ FaceBook:   / dataprofessor   ✅ Website: http://dataprofessor.org/ (Under construction) ✅ Twitter:   / thedataprof   ✅ Instagram:   / data.professor   ✅ LinkedIn:   / chanin-nantasenamat   ✅ GitHub 1: https://github.com/dataprofessor/ ✅ GitHub 2: https://github.com/chaninlab/ ⭕ Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents. #streamlit #stock #stockprice #machinelearning #python #bigdata #datascienceproject #randomforest #decisiontree #svm #neuralnet #neuralnetwork #supportvectormachine #learnpython #pythonprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #machinelearningmodel #dataprofessor #artificialintelligence #ai

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