July 2016
Beginner to intermediate
462 pages
9h 14m
English
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Comparing results with a dummy classifier
The scikit-learn DummyClassifier class implements several strategies for random guessing, which can serve as a baseline for classifiers. The strategies are as follows:
stratified: This uses the training set class distributionmost_frequent: This predicts the most frequent classprior: This is available in scikit-learn 0.17 and predicts by maximizing the class prioruniform: This uses an uniform distribution to randomly sample classesconstant: This predicts a user-specified class
As you can see, some strategies of the DummyClassifier class always predict the same class. This can lead to warnings from some scikit-learn metrics functions. We will perform the same analysis as we did in the Computing precision, ...
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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.