WEKA_数据分析实验.docx
文本预览下载声明
WEKA 数据分析实验实验简介借助工具Weka 3.6,对数据样本进行测试,分类测试方法包括:朴素贝叶斯、决策树、随机数三类,聚类测试方法包括:DBScan,K均值两种;数据样本以熟悉数据分类的各类常用算法,以及了解Weka的使用方法为目的,本次试验中,采用的数据样本是Weka软件自带的“Vote”样本,如图:关联规则分析操作步骤:点击“Explorer”按钮,弹出“Weka Explorer”控制界面选择“Associate”选项卡;点击“Choose”按钮,选择“Apriori”规则点击参数文本框框,在参数选项卡设置参数如:点击左侧“Start”按钮执行结果:=== Run information ===Scheme: weka.associations.Apriori -I -N 10 -T 0 -C 0.9 -D 0.05 -U 1.0 -M 0.5 -S -1.0 -c -1Relation: voteInstances: 435Attributes: 17handicapped-infantswater-project-cost-sharingadoption-of-the-budget-resolutionphysician-fee-freezeel-salvador-aidreligious-groups-in-schoolsanti-satellite-test-banaid-to-nicaraguan-contrasmx-missileimmigrationsynfuels-corporation-cutbackeducation-spendingsuperfund-right-to-suecrimeduty-free-exportsexport-administration-act-south-africa Class=== Associator model (full training set) ===Apriori=======Minimum support: 0.5 (218 instances)Minimum metric confidence: 0.9Number of cycles performed: 10Generated sets of large itemsets:Size of set of large itemsetsL(1): 12Large ItemsetsL(1):handicapped-infants=n 236adoption-of-the-budget-resolution=y 253physician-fee-freeze=n 247religious-groups-in-schools=y 272anti-satellite-test-ban=y 239aid-to-nicaraguan-contras=y 242synfuels-corporation-cutback=n 264education-spending=n 233crime=y 248duty-free-exports=n 233export-administration-act-south-africa=y 269Class=democrat 267Size of set of large itemsetsL(2): 4Large ItemsetsL(2):adoption-of-the-budget-resolution=y physician-fee-freeze=n 219adoption-of-the-budget-resolution=y Class=democrat 231physician-fee-freeze=n Class=democrat 245aid-to-nicaraguan-contras=y Class=democrat 218Size of set of large itemsetsL(3): 1Large ItemsetsL(3):adoption-of-the-budget-resolution=y physician-fee-freeze=n Class=democrat 219Best rules found: 1. adoption-of-the-budget-resolution=y physician-fee-freeze=n 219 == Class=democrat 219 conf:(1) 2. physician-fee-freeze=n 247 == Class=democrat 245 conf:(0.99) 3. adoption-of-the-budget-resoluti
显示全部