November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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3.3 Mesures de performances
91
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3.3.4 Compromis précision/rappel
Pour comprendre ce compromis, voyons comment le SGDClassifier prend ses
décisions de classication: pour chaque observation, il calcule un score basé sur une
fonction de décision. Si ce score est supérieur à un certain seuil, il affecte l’observa-
tion à la classe positive, sinon il l’affecte à la classe négative. La gure 3.3 présente
un certain nombre de chiffres s’échelonnant depuis le score le plus faible à gauche
jusqu’au score le plus élevé à droite. Supposons que le seuil de décision soit positionné
au niveau de la èche ...
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