What is the importance of ROC curves in machine learning model validation?
When you build a machine learning model, you want to know how well it can predict the outcome of new data. One way to measure the performance of a binary classifier, which can only distinguish between two classes, is to use a ROC curve. In this article, you will learn what a ROC curve is, how to interpret it, and why it is important for machine learning model validation.
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Mohamed AzharudeenData Scientist @ ?? | Building Baiir.in | Published 2 Research Papers | Open-Sourced 400K+ Rows of Data | Articulating…
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Dr. Matina ThomaidouVP, Head of Data Science at Dataseat (Verve) | ex-Meta (Facebook Ad Auction) | PhD in Machine Learning
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Gabriel BallesterosData Engineer @ Mercado Libre