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    "description": "**Author**: Prof. I-Cheng Yeh  \n**Source**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Blood+Transfusion+Service+Center)  \n**Please cite**: Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, \"Knowledge discovery on RFM model using Bernoulli sequence\", Expert Systems with Applications, 2008.   \n\n**Blood Transfusion Service Center Data Set**  \nData taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.\n\nTo demonstrate the RFMTC marketing model (a modified version of RFM), this study adopted the donor database of Blood Transfusion Service Center in Hsin-Chu City in Taiwan. The center passes their blood transfusion service bus to one university in Hsin-Chu City to gather blood donated about every three months. To build an FRMTC model, we selected 748 donors at random from the donor database. \n\n### Attribute Information  \n* V1: Recency - months since last donation\n* V2: Frequency - total number of donation\n* V3: Monetary - total blood donated in c.c.\n* V4: Time - months since first donation), and a binary variable representing whether he\/she donated blood in March 2007 (1 stand for donating blood; 0 stands for not donating blood).\n\nThe target attribute is a binary variable representing whether he\/she donated blood in March 2007 (2 stands for donating blood; 1 stands for not donating blood).",
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