63 lines
1.7 KiB
PHP
63 lines
1.7 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\Tests\Metric;
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use Phpml\Metric\ConfusionMatrix;
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use PHPUnit\Framework\TestCase;
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class ConfusionMatrixTest extends TestCase
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{
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public function testComputeConfusionMatrixOnNumericLabels(): void
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{
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$actualLabels = [2, 0, 2, 2, 0, 1];
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$predictedLabels = [0, 0, 2, 2, 0, 2];
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$confusionMatrix = [
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[2, 0, 0],
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[0, 0, 1],
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[1, 0, 2],
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];
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self::assertEquals($confusionMatrix, ConfusionMatrix::compute($actualLabels, $predictedLabels));
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}
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public function testComputeConfusionMatrixOnStringLabels(): void
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{
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$actualLabels = ['cat', 'ant', 'cat', 'cat', 'ant', 'bird'];
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$predictedLabels = ['ant', 'ant', 'cat', 'cat', 'ant', 'cat'];
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$confusionMatrix = [
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[2, 0, 0],
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[0, 0, 1],
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[1, 0, 2],
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];
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self::assertEquals($confusionMatrix, ConfusionMatrix::compute($actualLabels, $predictedLabels));
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}
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public function testComputeConfusionMatrixOnLabelsWithSubset(): void
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{
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$actualLabels = ['cat', 'ant', 'cat', 'cat', 'ant', 'bird'];
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$predictedLabels = ['ant', 'ant', 'cat', 'cat', 'ant', 'cat'];
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$labels = ['ant', 'bird'];
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$confusionMatrix = [
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[2, 0],
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[0, 0],
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];
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self::assertEquals($confusionMatrix, ConfusionMatrix::compute($actualLabels, $predictedLabels, $labels));
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$labels = ['bird', 'ant'];
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$confusionMatrix = [
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[0, 0],
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[0, 2],
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];
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self::assertEquals($confusionMatrix, ConfusionMatrix::compute($actualLabels, $predictedLabels, $labels));
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}
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}
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