1# Scoring
2A Scoring anomaly detector is one that assigns anomaly scores to unknown samples in a dataset. The interface provides the `score()` method which returns a set of scores from the model. Higher scores indicate a greater degree of anomalousness. In addition, samples can be sorted by their anomaly score to identify the top outliers.
3
4## Score a Dataset
5Return the anomaly scores assigned to the samples in a dataset:
6```php
7public score(Dataset $dataset) : array
8```
9
10```php
11$scores = $estimator->score($dataset);
12
13var_dump($scores);
14```
15
16```sh
17array(3) {
18  [0]=> float(0.35033859096744)
19  [1]=> float(0.40992076925443)
20  [2]=> float(1.68163357834096)
21}
22```
23