![]() This dataset is interesting because many of the predictors contain missing values and most rows of the dataset have at least one missing value. This dataset presents a classic binary classification problem: 50% of the samples are benign, 50% are malignant, and the challenge is to identify which are which. ![]() In this chapter, you’ll be using a version of the Wisconsin Breast Cancer dataset.
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