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An ad-ranking model predicts the probability that an ad is clicked. To train it cheaply, the non-clicks are usually downsampled - here to 10% - which leaves the model's probabilities far too high.

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Learn how to write cleaner Python with enumerate, zip, generator expressions, itertools, and functional tools for readable, memory-efficient data processing.

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