WEKA 数据分析实验1.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；2.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：3.关联规则分析1)操作步骤：a)点击“Explorer”按钮，弹出“Weka Explorer”控制界面b)选择“Associate”选项卡；c)点击“Choose”按钮，选择“Apriori”规则d)点击参数文本框框，在参数选项卡设置参数如：e)点击左侧“Start”按钮2)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 -1 Relation: 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-africaClass=== 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-resolution=y Class=democrat 231 ==> physician-fee-freeze=n 219 conf:(0.95)4. Class=democrat 267 ==> physician-fee-freeze=n 245 conf:(0.92)5. adoption-of-the-budget-resolution=y 253 ==> Class=democrat 231 conf:(0.91)6. aid-to-nicaraguan-contras=y 242 ==> Class=democrat 218 conf:(0.9)3)结果分析：a)该样本数据，数据记录数435个，17个属性，进行了10轮测试b)最小支持度为0.5，即至少需要218个实例；c)最小置信度为0.9；d)进行了10轮搜索，频繁1项集12个，频繁2项集4个，频繁3项集1个；4.分类算法-随机树分析1)操作步骤：a)点击“Explorer”按钮，弹出“Weka Explorer”控制界面b)选择“Classify ”选项卡；c)点击“Choose”按钮，选择“trees” “RandomTree”规则d)设置Cross-validation为10次e)点击左侧“Start”按钮2)执行结果：=== Run information ===Scheme:weka.classifiers.trees.RandomTree -K 0 -M 1.0 -S 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-africaClassTest mode:10-fold cross-validation=== Classifier model (full training set) ===RandomTree==========el-salvador-aid = n| physician-fee-freeze = n| | duty-free-exports = n| | | anti-satellite-test-ban = n| | | | synfuels-corporation-cutback = n| | | | | crime = n : republican (0.96/0)| | | | | crime = y| | | | | | handicapped-infants = n : democrat (2.02/0.01) | | | | | | handicapped-infants = y : democrat (0.05/0)| | | | synfuels-corporation-cutback = y| | | | | handicapped-infants = n : democrat (0.79/0.01)| | | | | handicapped-infants = y : democrat (2.12/0)| | | anti-satellite-test-ban = y| | | | adoption-of-the-budget-resolution = n| | | | | handicapped-infants = n : democrat (1.26/0.01)| | | | | handicapped-infants = y : republican (1.25/0.25) | | | | adoption-of-the-budget-resolution = y| | | | | handicapped-infants = n| | | | | | crime = n : democrat (5.94/0.01)| | | | | | crime = y : democrat (5.15/0.12)| | | | | handicapped-infants = y : democrat (36.99/0.09) | | duty-free-exports = y| | | crime = n : democrat (124.23/0.29)| | | crime = y| | | | handicapped-infants = n : democrat (16.9/0.38)| | | | handicapped-infants = y : democrat (8.99/0.02)| physician-fee-freeze = y| | immigration = n| | | education-spending = n| | | | crime = n : democrat (1.09/0)| | | | crime = y : democrat (1.01/0.01)| | | education-spending = y : republican (1.06/0.02)| | immigration = y| | | synfuels-corporation-cutback = n| | | | religious-groups-in-schools = n : republican (3.02/0.01) | | | | religious-groups-in-schools = y : republican (1.54/0.04) | | | synfuels-corporation-cutback = y : republican (1.06/0.05) el-salvador-aid = y| synfuels-corporation-cutback = n| | physician-fee-freeze = n| | | handicapped-infants = n| | | | superfund-right-to-sue = n| | | | | crime = n : democrat (1.36/0)| | | | | crime = y| | | | | | mx-missile = n : republican (1.01/0)| | | | | | mx-missile = y : democrat (1.01/0.01)| | | | superfund-right-to-sue = y : democrat (4.83/0.03)| | | handicapped-infants = y : democrat (8.42/0.02)| | physician-fee-freeze = y| | | adoption-of-the-budget-resolution = n| | | | export-administration-act-south-africa = n| | | | | mx-missile = n : republican (49.03/0)| | | | | mx-missile = y : democrat (0.11/0)| | | | export-administration-act-south-africa = y| | | | | duty-free-exports = n| | | | | | mx-missile = n : republican (60.67/0)| | | | | | mx-missile = y : republican (6.21/0.15)| | | | | duty-free-exports = y| | | | | | aid-to-nicaraguan-contras = n| | | | | | | water-project-cost-sharing = n| | | | | | | | mx-missile = n : republican (3.12/0)| | | | | | | | mx-missile = y : democrat (0.01/0)| | | | | | | water-project-cost-sharing = y : democrat (1.15/0.14)| | | | | | aid-to-nicaraguan-contras = y : republican (0.16/0)| | | adoption-of-the-budget-resolution = y| | | | anti-satellite-test-ban = n| | | | | immigration = n : democrat (2.01/0.01)| | | | | immigration = y| | | | | | water-project-cost-sharing = n| | | | | | | mx-missile = n : republican (1.63/0)| | | | | | | mx-missile = y : republican (1.01/0.01)| | | | | | water-project-cost-sharing = y| | | | | | | superfund-right-to-sue = n : republican (0.45/0)| | | | | | | superfund-right-to-sue = y : republican (1.71/0.64)| | | | anti-satellite-test-ban = y| | | | | mx-missile = n : republican (7.74/0)| | | | | mx-missile = y : republican (4.05/0.03)| synfuels-corporation-cutback = y| | adoption-of-the-budget-resolution = n| | | superfund-right-to-sue = n| | | | anti-satellite-test-ban = n| | | | | physician-fee-freeze = n : democrat (1.39/0.01)| | | | | physician-fee-freeze = y| | | | | | water-project-cost-sharing = n : republican (1.01/0)| | | | | | water-project-cost-sharing = y : democrat (1.05/0.05)| | | | anti-satellite-test-ban = y : democrat (1.13/0.01)| | | superfund-right-to-sue = y| | | | education-spending = n| | | | | physician-fee-freeze = n| | | | | | crime = n : democrat (0.09/0)| | | | | | crime = y| | | | | | | handicapped-infants = n : democrat (1.01/0.01)| | | | | | | handicapped-infants = y : democrat (1/0)| | | | | physician-fee-freeze = y| | | | | | immigration = n| | | | | | | export-administration-act-south-africa = n : democrat(0.34/0.11)| | | | | | | export-administration-act-south-africa = y| | | | | | | | crime = n : democrat (0.16/0)| | | | | | | | crime = y| | | | | | | | | mx-missile = n| | | | | | | | | | handicapped-infants = n : republican (0.29/0) | | | | | | | | | | handicapped-infants = y : republican (1.88/0.87)| | | | | | | | | mx-missile = y : democrat (0.01/0)| | | | | | immigration = y : republican (1.01/0)| | | | education-spending = y| | | | | physician-fee-freeze = n| | | | | | handicapped-infants = n : democrat (1.51/0.01)| | | | | | handicapped-infants = y : democrat (2.01/0)| | | | | physician-fee-freeze = y| | | | | | crime = n : republican (1.02/0)| | | | | | crime = y| | | | | | | export-administration-act-south-africa = n| | | | | | | | handicapped-infants = n| | | | | | | | | immigration = n| | | | | | | | | | mx-missile = n| | | | | | | | | | | water-project-cost-sharing = n : democrat (1.01/0.01)| | | | | | | | | | | water-project-cost-sharing = y : republican (1.81/0)| | | | | | | | | | mx-missile = y : democrat (0.01/0)| | | | | | | | | immigration = y| | | | | | | | | | mx-missile = n : republican (2.78/0)| | | | | | | | | | mx-missile = y : democrat (0.01/0)| | | | | | | | handicapped-infants = y| | | | | | | | | mx-missile = n : republican (2/0)| | | | | | | | | mx-missile = y : democrat (0.4/0)| | | | | | | export-administration-act-south-africa = y| | | | | | | | mx-missile = n : republican (8.77/0)| | | | | | | | mx-missile = y : democrat (0.02/0)| | adoption-of-the-budget-resolution = y| | | anti-satellite-test-ban = n| | | | handicapped-infants = n| | | | | crime = n : democrat (2.52/0.01)| | | | | crime = y : democrat (7.65/0.07)| | | | handicapped-infants = y : democrat (10.83/0.02)| | | anti-satellite-test-ban = y| | | | physician-fee-freeze = n| | | | | handicapped-infants = n| | | | | | crime = n : democrat (2.42/0.01)| | | | | | crime = y : democrat (2.28/0.03)| | | | | handicapped-infants = y : democrat (4.17/0.01)| | | | physician-fee-freeze = y| | | | | mx-missile = n : republican (2.3/0)| | | | | mx-missile = y : democrat (0.01/0)Size of the tree : 143Time taken to build model: 0.01seconds=== Stratified cross-validation ====== Summary ===Correctly Classified Instances 407 93.5632 %Incorrectly Classified Instances 28 6.4368 %Kappa statistic 0.8636Mean absolute error 0.0699Root mean squared error 0.2379Relative absolute error 14.7341 %Root relative squared error 48.8605 %Total Number of Instances 435=== Detailed Accuracy By Class ===TP Rate FP Rate Precision Recall F-Measure ROC Area Class0.955 0.095 0.941 0.955 0.948 0.966 democrat0.905 0.045 0.927 0.905 0.916 0.967 republicanWeighted Avg. 0.936 0.076 0.936 0.936 0.935 0.966=== Confusion Matrix ===a b <-- classified as255 12 | a = democrat16 152 | b = republican3)结果分析：a)该样本数据，数据记录数435个，17个属性，进行了10轮交叉验证b)随机树长143c)正确分类共407个，正确率达93.5632 %d)错误分类28个，错误率6.4368 %e)测试数据的正确率较好5.分类算法-随机树分析1)操作步骤：a)点击“Explorer”按钮，弹出“Weka Explorer”控制界面b)选择“Classify ”选项卡；c)点击“Choose”按钮，选择“trees” “J48”规则d)设置Cross-validation为10次e)点击左侧“Start”按钮2)执行结果：=== Run information ===Scheme:weka.classifiers.trees.J48 -C 0.25 -M 2Relation: 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-africaClassTest mode:10-fold cross-validation=== Classifier model (full training set) ===J48 pruned tree------------------physician-fee-freeze = n: democrat (253.41/3.75)physician-fee-freeze = y| synfuels-corporation-cutback = n: republican (145.71/4.0)| synfuels-corporation-cutback = y| | mx-missile = n| | | adoption-of-the-budget-resolution = n: republican (22.61/3.32)| | | adoption-of-the-budget-resolution = y| | | | anti-satellite-test-ban = n: democrat (5.04/0.02)| | | | anti-satellite-test-ban = y: republican (2.21)| | mx-missile = y: democrat (6.03/1.03)Number of Leaves : 6Size of the tree : 11Time taken to build model: 0.06seconds=== Stratified cross-validation ====== Summary ===Correctly Classified Instances 419 96.3218 %Incorrectly Classified Instances 16 3.6782 %Kappa statistic 0.9224Mean absolute error 0.0611Root mean squared error 0.1748Relative absolute error 12.887 %Root relative squared error 35.9085 %Total Number of Instances 435=== Detailed Accuracy By Class ===TP Rate FP Rate Precision Recall F-Measure ROC Area Class0.97 0.048 0.97 0.97 0.97 0.971 democrat0.952 0.03 0.952 0.952 0.952 0.971 republicanWeighted Avg. 0.963 0.041 0.963 0.963 0.963 0.971=== Confusion Matrix ===a b <-- classified as259 8 | a = democrat8 160 | b = republican3)结果分析：a)该样本数据，数据记录数435个，17个属性，进行了10轮交叉验证b)决策树分6级，长度11c)正确分类共419个，正确率达96.3218 %d)错误分类16个，错误率3.6782 %e)测试结果接近随机数，正确率较高6.分类算法-朴素贝叶斯分析1)操作步骤：a)点击“Explorer”按钮，弹出“Weka Explorer”控制界面b)选择“Classify ”选项卡；c)点击“Choose”按钮，选择“bayes” “Naive Bayes”规则d)设置Cross-validation为10次e)点击左侧“Start”按钮2)执行结果：=== Stratified cross-validation ====== Summary ===Correctly Classified Instances 392 90.1149 %Incorrectly Classified Instances 43 9.8851 %Kappa statistic 0.7949Mean absolute error 0.0995Root mean squared error 0.2977Relative absolute error 20.9815 %Root relative squared error 61.1406 %Total Number of Instances 435=== Detailed Accuracy By Class ===TP Rate FP Rate Precision Recall F-Measure ROC Area Class0.891 0.083 0.944 0.891 0.917 0.973democrat0.917 0.109 0.842 0.917 0.877 0.973republicanWeighted Avg. 0.901 0.093 0.905 0.901 0.902 0.973 === Confusion Matrix ===a b <-- classified as238 29 | a = democrat14 154 | b = republican3)结果分析a)该样本数据，数据记录数435个，17个属性，进行了10轮交叉验证b)正确分类共392个，正确率达90.1149 %c)错误分类43个，错误率9.8851 %d)测试正确率较高7.根据以上对比结果，三类分类算法对样板数据Vote测试准确率类似；。