blood-transfusion-service-center
OpenML dataset with id 1464
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Full work available at URL: https://api.openml.org/data/v1/download/1586225/blood-transfusion-service-center.arff
Upload date: 21 May 2015
Dataset Characteristics
Number of classes: 2
Number of features: 5 (numeric: 4, symbolic: 1 and in total binary: 1 )
Number of instances: 748
Number of instances with missing values: 0
Number of missing values: 0
Author: Prof. I-Cheng Yeh Source: UCI 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.
Blood Transfusion Service Center Data Set Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.
To 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.
Attribute Information
- V1: Recency - months since last donation
- V2: Frequency - total number of donation
- V3: Monetary - total blood donated in c.c.
- 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).
The 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).
This page was built for dataset: blood-transfusion-service-center
