Binary classification dataset in machine learning having 5000 or more rows
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The goal of a binary classification problem is to create a machine learning model that makes a prediction in situations where the thing to predict can take one of just two possible values. For example, you might want to predict whether a person is male (0) or female (1) based on predictor variables such as age, income, height, political party affiliation, and so on.
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