萨默维尔幸福调查数据集

Waldemar W. Koczkodaj, wkoczkodaj@gmail, independent researcher. Data Set Information: It is a case of supervised learning with the use of Receiver Operating Characteristic (ROC) to select the minimal set of attributes preserving or increasing predictability of the data. Attribute Information: D = decision attribute (D) with values 0 (unhappy) and 1 (happy) X1 = the availability of information about the city services X2 = the cost of housing X3 = the overall quality of public schools X4 = your trust in the local police X5 = the maintenance of streets and sidewalks X6 = the availability of social community events Attributes X1 to X6 have values 1 to 5. Relevant Papers: Koczkodaj, W.W.; Li, F.; Wolny-Dominiak, A., RatingScaleReduction package: stepwise rating scale item reduction without predictability loss, R JOURNAL, 10(1): 43-55, 2018. W.W. Koczkodaj, T. Kakiashvili, A. Szymanska, J. Montero-Marin, R. Araya, J. Garcia-Campayo, K. Rutkowski, D. Strzalka, How to reduce the number of rating scale items without predictability loss? Scientometrics, 111(2): 581-593, 2017. Project R package: [Web link] Citation Request: For the method: W.W. Koczkodaj, T. Kakiashvili, A. Szymanska, J. Montero-Marin, R. Araya, J. Garcia-Campayo, K. Rutkowski, D. Strzalka, How to reduce the number of rating scale items without predictability loss? Scientometrics, 111(2): 581-593, 2017.

Waldemar W. Koczkodaj，邮箱wkoczkodaj@gmail，独立研究员。
数据集说明：本数据集为监督学习案例，采用受试者工作特征曲线（Receiver Operating Characteristic，ROC）选取最小属性子集，以保留或提升数据的可预测性。
属性说明：D为决策属性（D），取值为0（不满意）与1（满意）；X1代表城市服务信息可获得性；X2为住房成本；X3为公立学校整体质量；X4为对当地警方的信任程度；X5为街道与人行道的维护状况；X6为社会社区活动可获得性。属性X1至X6的取值范围为1至5。
相关论文：
1. Koczkodaj, W.W.; Li, F.; Wolny-Dominiak, A. 《RatingScaleReduction包：无需损失可预测性的逐步评定量表条目约简》，《R期刊》，10(1): 43-55, 2018.
2. W.W. Koczkodaj, T. Kakiashvili, A. Szymanska, J. Montero-Marin, R. Araya, J. Garcia-Campayo, K. Rutkowski, D. Strzalka. 《如何在不损失可预测性的前提下缩减评定量表条目数量》，《Scientometrics》，111(2): 581-593, 2017.
项目R包：[Web link]
引用要求：针对该方法的引用：W.W. Koczkodaj, T. Kakiashvili, A. Szymanska, J. Montero-Marin, R. Araya, J. Garcia-Campayo, K. Rutkowski, D. Strzalka. 《如何在不损失可预测性的前提下缩减评定量表条目数量》，《Scientometrics》，111(2): 581-593, 2017.