November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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90
Chapitre 3. Classification
3.3.3 Précision et rappel
Scikit-Learn fournit plusieurs fonctions permettant de calculer des métriques pour
classicateur, parmi lesquelles la précision (precision_score) et le rappel
(recall_score):
>>> from sklearn.metrics import precision_score, recall_score
>>> precision_score(y_train_5, y_train_pred) # == 4096 / (4096 + 1522)
0.7290850836596654
>>> recall_score(y_train_5, y_train_pred) # == 4096 / (4096 + 1325)
0.7555801512636044
Maintenant, votre détecteur de 5 ne paraît plus aussi brillant que lorsque vous
avez examiné sa précision: lorsqu’il déclare qu’une image est un 5, il n’a raison que
72,9% du temps. De ...
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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.