This dataset from the Blood Transfusion Service Center in Hsin-Chu City, Taiwan, explores blood donation behavior as a classification problem. Collected every three months from 748 randomly selected donors, it includes attributes like recency, frequency, monetary value, and time. The dataset is ideal for studying and predicting blood donation behavior, pretty cool for classification tasks focused on understanding influencing factors.
You can find it here: https://sellagen.com/item/650207244d7ce7e8220cbec5
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