托儿所数据集

Data Set Information: 托儿所数据库源于最初开发用于对托儿所应用程序进行排序的分层决策模型。20世纪80年代，斯洛文尼亚卢布尔雅那的这些学校入学人数过多，被拒绝的申请常常需要客观的解释。最终决定取决于三个子问题：父母和儿童托儿所的职业、家庭结构和财务状况以及家庭的社会和健康状况。该模型是在决策DEX专家系统外壳中开发的（M.Bohanec，V.Rajkovic：决策专家系统，Sistemica 1（1），第145-157页，1990年）。 The hierarchical model ranks nursery-school applications according to the following concept structure: NURSERY evaluation of applications for nursery schools . EMPLOY Employment of parents and child's nursery . . parents Parents' occupation . . has_nurs Child's nursery . STRUCT_FINAN Family structure and financial standings . . STRUCTURE Family structure . . . form Form of the family . . . children Number of children . . housing Housing conditions . . finance Financial standing of the family . SOC_HEALTH Social and health picture of the family . . social Social conditions . . health Health conditions Input attributes are printed in lowercase. Besides the target concept (NURSERY) the model includes four intermediate concepts: EMPLOY, STRUCT_FINAN, STRUCTURE, SOC_HEALTH. Every concept is in the original model related to its lower level descendants by a set of examples (for these examples sets see [Web link]). The Nursery Database contains examples with the structural information removed, i.e., directly relates NURSERY to the eight input attributes: parents, has_nurs, form, children, housing, finance, social, health. Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods. Attribute Information: parents: usual, pretentious, great_pret has_nurs: proper, less_proper, improper, critical, very_crit form: complete, completed, incomplete, foster children: 1, 2, 3, more housing: convenient, less_conv, critical finance: convenient, inconv social: non-prob, slightly_prob, problematic health: recommended, priority, not_recom Relevant Papers: M. Olave, V. Rajkovic, M. Bohanec: An application for admission in public school systems. In (I. Th. M. Snellen and W. B. H. J. van de Donk and J.-P. Baquiast, editors) Expert Systems in Public Administration, pages 145-160. Elsevier Science Publishers (North Holland), 1989. [Web link] B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by function decomposition. ICML-97, Nashville, TN. 1997 [Web link] Creator: Vladislav Rajkovic et al. (13 experts) Donors: Marko Bohanec (marko.bohanec '@' ijs.si) Blaz Zupan (blaz.zupan '@' ijs.si)

搜集汇总

背景与挑战

背景概述

托儿所数据集源于20世纪80年代斯洛文尼亚卢布尔雅那的托儿所申请排序模型，用于评估申请资格，基于父母职业、家庭结构和财务状况、社会健康状况三个维度。数据集包含8个输入属性，如父母职业、儿童托儿所情况、家庭形式等，适用于测试构造性归纳和结构发现方法，大小为41K。