From 5aef52baf5e1c974a98d7b2427af9c953c318d58 Mon Sep 17 00:00:00 2001 From: Dorian HODIN Date: Tue, 25 Jun 2024 11:01:08 +0200 Subject: [PATCH] Supprimer 'blood-transfusion/blood-transfusion/transfusion.names' --- .../blood-transfusion/transfusion.names | 88 ------------------- 1 file changed, 88 deletions(-) delete mode 100755 blood-transfusion/blood-transfusion/transfusion.names diff --git a/blood-transfusion/blood-transfusion/transfusion.names b/blood-transfusion/blood-transfusion/transfusion.names deleted file mode 100755 index f10935f..0000000 --- a/blood-transfusion/blood-transfusion/transfusion.names +++ /dev/null @@ -1,88 +0,0 @@ -Title: Blood Transfusion Service Center Data Set - -Abstract: Data taken from the Blood Transfusion Service Center in Hsin-Chu City -in Taiwan -- this is a classification problem. - - ------------------------------------------------------ - -Data Set Characteristics: Multivariate -Number of Instances: 748 -Area: Business -Attribute Characteristics: Real -Number of Attributes: 5 -Date Donated: 2008-10-03 -Associated Tasks: Classification -Missing Values? N/A - ------------------------------------------------------ - -Source: - -Original Owner and Donor -Prof. I-Cheng Yeh -Department of Information Management -Chung-Hua University, -Hsin Chu, Taiwan 30067, R.O.C. -e-mail:icyeh 'at' chu.edu.tw -TEL:886-3-5186511 - -Date Donated: October 3, 2008 - ------------------------------------------------------ - -Data Set Information: - -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 a FRMTC model, we selected 748 donors at random from the donor database. -These 748 donor data, each one included R (Recency - months since last -donation), F (Frequency - total number of donation), M (Monetary - total blood -donated in c.c.), T (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). - ------------------------------------------------------ - -Attribute Information: - -Given is the variable name, variable type, the measurement unit and a brief -description. The "Blood Transfusion Service Center" is a classification problem. -The order of this listing corresponds to the order of numerals along the rows of -the database. - -R (Recency - months since last donation), -F (Frequency - total number of donation), -M (Monetary - total blood donated in c.c.), -T (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). - - -Table 1 shows the descriptive statistics of the data. We selected 500 data at -random as the training set, and the rest 248 as the testing set. - -Table 1. Descriptive statistics of the data - -Variable Data Type Measurement Description min max mean std -Recency quantitative Months Input 0.03 74.4 9.74 8.07 -Frequency quantitative Times Input 1 50 5.51 5.84 -Monetary quantitative c.c. blood Input 250 12500 1378.68 1459.83 -Time quantitative Months Input 2.27 98.3 34.42 24.32 -Whether he/she donated blood in March 2007 binary 1=yes 0=no Output 0 1 1 (24%) 0 (76%) - - ------------------------------------------------------ - -Citation Request: - -NOTE: Reuse of this database is unlimited with retention of copyright notice for -Prof. I-Cheng Yeh and the following published paper: - -Yeh, I-Cheng, Yang, King-Jang, and Ting, Tao-Ming, "Knowledge discovery on RFM -model using Bernoulli sequence, "Expert Systems with Applications, 2008 -(doi:10.1016/j.eswa.2008.07.018). - -