March 2019
Intermediate to advanced
256 pages
4h 57m
French
Content preview from Machine learning : les fondamentauxBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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CHAPITRE 11 Sélection de modèle
Ce chapitre s’intéresse à l’optimisation des hyperparamètres. Nous verrons également s’il est nécessaire d’ajouter encore des données pour améliorer le fonctionnement du modèle.
Courbe de validation
La création d’une courbe de validation est un des outils permettant de trouver la bonne valeur pour un hyperparamètre. Il s’agit d’un graphique montrant la réponse des performances du modèle aux variations de la valeur de l’hyperparamètre (Figure 11.1). Le diagramme montre les données d’entraînement et celles de validation. Les scores de validation permettent de déduire la façon dont le modèle va réagir à des données qu’il ne connaît pas encore. En temps normal, il faut choisir une valeur d’hyperparamètre qui offre le ...
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