October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Accuracy
The accuracy calculates either the fraction or the count of correct predictions for a model. In multi-label classification, the function returns the subset's accuracy.
If the entire set of predicted labels for a sample strictly matches the true set of labels, then the subset's accuracy is 1.0; otherwise, it is 0.0. If ŷi is the predicted value of the ith sample and yi is the corresponding true value, then the fraction of correct predictions over n samples is defined as follows:
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