November 2024
Intermediate to advanced
338 pages
7h 57m
French
Content preview from Pense à Bayes, 2e édition
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Chapitre 12. La classification
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La classification est peut-être l'application la plus connue des méthodes bayésiennes, rendues célèbres dans les années 1990 en tant que base de la première génération de filtres anti-spam.
Dans ce chapitre, je vais faire une démonstration de classification bayésienne à l'aide de données recueillies et mises à disposition par le Dr Kristen Gorman à la station de recherche écologique à long terme Palmer en Antarctique (voir Gorman, Williams et Fraser, " Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis) ", mars 2014). Nous utiliserons ces données pour classer les pingouins par espèce.
Données sur les pingouins
J'utiliserai pandas pour charger les données dans une page DataFrame:
importpandasaspddf=pd.read_csv('penguins_raw.csv')df.shape
(344, 17)
L'ensemble de données contient une ligne pour chaque pingouin et une colonne pour chaque variable.
Trois espèces de manchots sont représentées dans l'ensemble de données : Adélie, Chinstrap et Gentoo.
Les mesures que nous utiliserons sont les suivantes :
-
Masse corporelle en grammes (g).
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Longueur des palmes en millimètres (mm).
-
Longueur du culmen en millimètres.
-
Profondeur du culmen en millimètres.
Si tu ne connais pas le mot "culmen", il désigne lamarge supérieure du bec.
Ces mesures seront plus ...
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