December 2018
Beginner to intermediate
684 pages
21h 9m
English
Content preview from Hands-On Machine Learning for Algorithmic Trading
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Benchmark accuracy
Using the most frequent number of stars (=5) to predict the test set, we achieve an accuracy close to 52%:
test['predicted'] = train.stars.mode().iloc[0]accuracy_score(test.stars, test.predicted)0.5196950594793454