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How to Plot an ROC Curve in Python | Machine Learning in Python
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In this video, I will show you how to plot the Receiver Operating Characteristic (ROC) curve in Python using the scikit-learn package. I will also you how to calculate the area under an ROC (AUROC) curve. In the tutorial, we will be comparing 2 classifiers via the ROC curve and the AUROC values.
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⭕ Playlist:
Check out our other videos in the following playlists.
⭕ Subscribe:
If you're new here, it would mean the world to me if you would consider subscribing to this channel.
⭕ Recommended Tools:
Kite is a FREE AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite and I love it!
⭕ Recommended Books:
⭕ Stock photos, graphics and videos used on this channel:
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⭕ 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.
#dataprofessor #PCA #clustering #cluster #principalcomponentanalysis #scikit #scikitlearn #sklearn #prediction #jupyternotebook #jupyter #googlecolab #colaboratory #notebook #machinelearning #datascienceproject #randomforest #decisiontree #svm #neuralnet #neuralnetwork #supportvectormachine #python #learnpython #pythonprogramming #datascience #datamining #bigdata #datascienceworkshop #dataminingworkshop #dataminingtutorial #datasciencetutorial #ai #artificialintelligence #tutorial #dataanalytics #dataanalysis #factor #principalcomponent #principalcomponents #pc #machinelearningmodel
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