How To Correctly Validate Machine Learning Models
Originally published: 08/12/2017 11:32
Publication number: ELQ-34190-1
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How To Correctly Validate Machine Learning Models

Whitepaper discussing the 4 main components for correctly validating machine learning models.

Model accuracy calculation is an essential part of all machine learning projects, but a lot of data science tools make it very difficult to evaluate how accuracy the model really is. A lot of the time, tools will only validate the model selection, not what goes on surrounding selection. Or worse than that, they don't support techniques like cross-validation.

This paper talks about the 4 principal components for the correct validation of machine learning models and how RapidMiner Studio correctly validates their models.

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