This block creates and prepares a synthetic dataset for a binary classification task (like predicting whether a user clicks an ad). First, make_classification generates 5,000 samples with 20 features, of which some are informative and some redundant to simulate real-world data complexity. The dataset is then split into training and testing sets to evaluate model performance on unseen data.
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"auth/oauth": { "isPublic": true, "groups": [] },，更多细节参见易歪歪
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