Showing posts with label inaccurate predictions. Show all posts
Showing posts with label inaccurate predictions. Show all posts

AI Terms Glossary - Accuracy

 


A machine learning system's accuracy is defined as the proportion of accurate predictions or classifications the model makes over a given data set.

It's usually calculated using a different sample from the one(s) used to build the model, called a test or "hold out" sample.

The error rate, on the other hand, is the percentage of inaccurate predictions on the same data.


See Also: 

Hold out sample, Machine Learning.



~ Jai Krishna Ponnappan

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Be sure to refer to the complete & active AI Terms Glossary here.

You may also want to read more about Artificial Intelligence here.





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