November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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3.5 Analyse des erreurs
99
© Dunod – Toute reproduction non autorisée est un délit.
>>> sgd_clf.decision_function([some_digit])
array([[-15955.22628, -38080.96296, -13326.66695, 573.52692, -17680.68466,
2412.53175, -25526.86498, -12290.15705, -7946.05205, -10631.35889]])
Vous pouvez voir que le classicateur est plutôt conant dans sa prédiction : presque
tous les scores sont largement négatifs tandis que la classe5 a un score de 2412,5.
Le modèle a un léger doute concernant la classe3, qui obtient un score de 573,5.
Maintenant, vous voulez bien sûr évaluer ce classicateur. Comme d’habitude, vous
pouvez utiliser une validation croisée. Évaluons ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.