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add docs for ConfusionMatrix
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@ -3,7 +3,11 @@ CHANGELOG
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This changelog references the relevant changes done in PHP-ML library.
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* 0.2.0 (in progress)
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* 0.2.0 (in plan)
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* feature [Dataset] - FileDataset - load dataset from files (folders as targets)
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* feature [Metric] - ClassificationReport - report about trained classifier
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* 0.1.1 (2016-07-12)
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* feature [Cross Validation] Stratified Random Split - equal distribution for targets in split
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* feature [General] Documentation - add missing pages and fix links
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@ -48,6 +48,7 @@ composer require php-ai/php-ml
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* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/)
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* Metric
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* [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/)
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* [Confusion Matrix](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/confusion-matrix/)
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* Workflow
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* [Pipeline](http://php-ml.readthedocs.io/en/latest/machine-learning/workflow/pipeline)
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* Cross Validation
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@ -48,6 +48,7 @@ composer require php-ai/php-ml
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* [DBSCAN](machine-learning/clustering/dbscan/)
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* Metric
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* [Accuracy](machine-learning/metric/accuracy/)
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* [Confusion Matrix](machine-learning/metric/confusion-matrix/)
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* Workflow
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* [Pipeline](machine-learning/workflow/pipeline)
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* Cross Validation
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docs/machine-learning/metric/confusion-matrix.md
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44
docs/machine-learning/metric/confusion-matrix.md
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@ -0,0 +1,44 @@
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# Confusion Matrix
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Class for compute confusion matrix to evaluate the accuracy of a classification.
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### Example (all targets)
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Compute ConfusionMatrix for all targets.
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```
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use Phpml\Metric\ConfusionMatrix;
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$actualTargets = [2, 0, 2, 2, 0, 1];
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$predictedTargets = [0, 0, 2, 2, 0, 2];
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$confusionMatrix = ConfusionMatrix::compute($actualTargets, $predictedTargets)
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/*
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$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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*/
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```
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### Example (chosen targets)
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Compute ConfusionMatrix for chosen targets.
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```
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use Phpml\Metric\ConfusionMatrix;
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$actualTargets = ['cat', 'ant', 'cat', 'cat', 'ant', 'bird'];
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$predictedTargets = ['ant', 'ant', 'cat', 'cat', 'ant', 'cat'];
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$confusionMatrix = ConfusionMatrix::compute($actualTargets, $predictedTargets, ['ant', 'bird'])
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/*
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$confusionMatrix = [
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[2, 0],
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[0, 0],
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];
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*/
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```
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@ -14,6 +14,7 @@ pages:
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- DBSCAN: machine-learning/clustering/dbscan.md
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- Metric:
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- Accuracy: machine-learning/metric/accuracy.md
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- Confusion Matrix: machine-learning/metric/confusion-matrix.md
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- Workflow:
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- Pipeline: machine-learning/workflow/pipeline.md
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- Cross Validation:
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