Top K Accuracy looks at the k classes with the highest predicted probabilities when calculating the accuracy score. If one of the top k classes matches the ground-truth, then the prediction is considered accurate.
Estimator Compatibility: Probabilistic Classifier
Score Range: 0 to 1
| # | Name | Default | Type | Description |
|---|---|---|---|---|
| 1 | k | 3 | int | The number of classes with the highest predicted probability to consider. |
use Rubix\ML\CrossValidation\Metrics\TopKAccuracy;
$metric = new TopKAccuracy(5);