November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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104
Chapitre 3. Classification
d’obser vations ayantcette étiquette cible). Pour ce faire, utilisez simplement l’option
average="weighted" dans le code ci-dessus
50
.
3.7 CLASSIFICATION MULTI-SORTIES
Le dernier type de classication dont nous allons parler ici est appelé classication
multi-sorties multi-classes (ou plus simplement classication multi-sorties). Il s’agit sim-
plement d’une généralisation de la classication multi-étiquettes où chaque étiquette
peut-être multi-classes (c’est-à-dire qu’elle peut avoir plus de deux valeurs possibles).
Pour illustrer ceci, construisons un système qui supprime les aléas (ou bruit)
des images. Il reçoit ...
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