mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2024-11-22 21:15:10 +00:00
38 lines
949 B
PHP
38 lines
949 B
PHP
<?php
|
|
|
|
declare (strict_types = 1);
|
|
|
|
namespace tests\Phpml\Metric;
|
|
|
|
use Phpml\Metric\Accuracy;
|
|
|
|
class AccuracyTest extends \PHPUnit_Framework_TestCase
|
|
{
|
|
/**
|
|
* @expectedException \Phpml\Exception\InvalidArgumentException
|
|
*/
|
|
public function testThrowExceptionOnInvalidArguments()
|
|
{
|
|
$actualLabels = ['a', 'b', 'a', 'b'];
|
|
$predictedLabels = ['a', 'a'];
|
|
|
|
Accuracy::score($actualLabels, $predictedLabels);
|
|
}
|
|
|
|
public function testCalculateNormalizedScore()
|
|
{
|
|
$actualLabels = ['a', 'b', 'a', 'b'];
|
|
$predictedLabels = ['a', 'a', 'b', 'b'];
|
|
|
|
$this->assertEquals(0.5, Accuracy::score($actualLabels, $predictedLabels));
|
|
}
|
|
|
|
public function testCalculateNotNormalizedScore()
|
|
{
|
|
$actualLabels = ['a', 'b', 'a', 'b'];
|
|
$predictedLabels = ['a', 'b', 'b', 'b'];
|
|
|
|
$this->assertEquals(3, Accuracy::score($actualLabels, $predictedLabels, false));
|
|
}
|
|
}
|