php-ml/docs/machine-learning/metric/accuracy.md
2016-04-09 00:36:48 +02:00

560 B

Accuracy

Class for calculate classifier accuracy.

Score

To calculate classifier accuracy score use score static method. Parametrs:

  • $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