php-ml/docs/machine-learning/metric/accuracy.md

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# Accuracy
Class for calculating classifier accuracy.
### Score
To calculate classifier accuracy score, use the `score` static method. Parameters:
* $actualLabels - (array) true sample labels
* $predictedLabels - (array) predicted labels (e.x. from test group)
* $normalize - (bool) normalize or not the result (default: true)
### Example
```
$actualLabels = ['a', 'b', 'a', 'b'];
$predictedLabels = ['a', 'a', 'a', 'b'];
Accuracy::score($actualLabels, $predictedLabels);
// return 0.75
Accuracy::score($actualLabels, $predictedLabels, false);
// return 3
```