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Priscilla Parodi for Elastic

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Elastic Data Frame - Classification vs Regression

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Regression and classification algorithms are supervised ML algorithms but the difference between the two is how they are used for different machine learning challenges. In the classification analysis we are predicting class probabilities such as yes / no, true / false, spam / not spam, while in the regression analysis we are predicting continuous values such as price and salary.

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This post is part of a series that covers Artificial Intelligence with a focus on Elastic's (Creators of Elasticsearch) Machine Learning solution, aiming to introduce and exemplify the possibilities and options available, in addition to addressing the context and usability.

Effortless, secure sharing for even your largest files.

Effortless, secure sharing for even your largest files.

No centralized keys. Post-quantum, end-to-end encryption means no one, not even VIA, can access your data.

To celebrate our launch and Cybersecurity Awareness Month, we’re giving you 1 TB of FREE data transfers when you sign up in October.

See more 🎥

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Via QT image

Effortless, secure sharing for even your largest files.

No centralized keys. Post-quantum, end-to-end encryption means no one, not even VIA, can access your data.

To celebrate our launch and Cybersecurity Awareness Month, we’re giving you 1 TB of FREE data transfers when you sign up in October.

See more 🎥