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ensemble simplified

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@ -70,7 +70,7 @@ for metric in metrics:
**Ensemble learning for face recognition** - [`Demo`](https://youtu.be/EIBJJJ0ECXU)
A face recognition task can be handled by several models and similarity metrics. We can [combine](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) the precictions of all of those models and metrics to improve the accuracy of a face recognition task. This offers a huge improvement on accuracy, precision and recall but it runs much slower than single models.
A face recognition task can be handled by several models and similarity metrics. Herein, deepface offers a [special boosting and combination solution](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) to improve the accuracy of a face recognition task. This provides a huge improvement on accuracy metrics but it runs much slower than single models.
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-4.jpg" width="95%" height="95%"></p>