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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